Md Irfanul Haque Siddiqui, Latif Arifudin, I. Alnaser, Ahmed Hassan, Khalid Alluhydan
Prosthetic running blades offer a solution for individuals with disabilities to engage in sports, benefiting them both psychologically and physiologically. Furthermore, a good prosthetic running blade in terms of performance and cost is rarely available to all disabled persons. In this study, we have examined how various materials impact the static behavior of the prosthetic running blade. A finite element numerical analysis was conducted on a prosthetic design to investigate this effect. We have used different materials for investigation such as aluminum alloy (2024 T4), stainless steel (AISI 316), carbon fiber, and titanium alloy (grade 5), under different load conditions. The load conditions have been varied mainly to three conditions, namely, rest (700 N), walking (1400 N), and running (2100 N). In our experimental design, we studied total deformation, equivalent stress, and strain energy to understand the performance based on material choice. It was noticed that the aluminum alloy (2024 T4) blade goes under much deformation when compared to titanium- and carbon fiber-made running blades. The least amount of overall deformation occurs in carbon fiber under varying load conditions. Carbon fiber appears to be the most profitable option due to its lowest cost per running blade. Titanium alloy grade 5, carbon fiber, AISI 316 stainless steel, and aluminum 2024 T4 alloy cost a total of 78.1, 48.5, 67.6, and 20.9 USD, respectively. It is evident that titanium alloy materials carry a higher price compared to alternative materials.
{"title":"Static Behavior of a Prosthetic Running Blade Made from Alloys and Carbon Fiber","authors":"Md Irfanul Haque Siddiqui, Latif Arifudin, I. Alnaser, Ahmed Hassan, Khalid Alluhydan","doi":"10.57197/jdr-2023-0010","DOIUrl":"https://doi.org/10.57197/jdr-2023-0010","url":null,"abstract":"Prosthetic running blades offer a solution for individuals with disabilities to engage in sports, benefiting them both psychologically and physiologically. Furthermore, a good prosthetic running blade in terms of performance and cost is rarely available to all disabled persons. In this study, we have examined how various materials impact the static behavior of the prosthetic running blade. A finite element numerical analysis was conducted on a prosthetic design to investigate this effect. We have used different materials for investigation such as aluminum alloy (2024 T4), stainless steel (AISI 316), carbon fiber, and titanium alloy (grade 5), under different load conditions. The load conditions have been varied mainly to three conditions, namely, rest (700 N), walking (1400 N), and running (2100 N). In our experimental design, we studied total deformation, equivalent stress, and strain energy to understand the performance based on material choice. It was noticed that the aluminum alloy (2024 T4) blade goes under much deformation when compared to titanium- and carbon fiber-made running blades. The least amount of overall deformation occurs in carbon fiber under varying load conditions. Carbon fiber appears to be the most profitable option due to its lowest cost per running blade. Titanium alloy grade 5, carbon fiber, AISI 316 stainless steel, and aluminum 2024 T4 alloy cost a total of 78.1, 48.5, 67.6, and 20.9 USD, respectively. It is evident that titanium alloy materials carry a higher price compared to alternative materials.","PeriodicalId":46073,"journal":{"name":"Scandinavian Journal of Disability Research","volume":"104 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80808454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Faiz Alotaibi, Mrim M. Alnfiai, F. Al-Wesabi, Mesfer Alduhayyem, A. Hilal, M. A. Hamza
Aging is related to a decrease in the ability to execute activities of day-to-day routine and decay in physical exercise, which affect mental and physical health. Elderly patients or people can depend on a human activity recognition (HAR) system, which monitors the activity interventions and patterns if any critical event or behavioral changes occur. A HAR system incorporated with the Internet of Things (IoT) environment might allow these people to live independently. While the number of groups of activities and sensor measurements is enormous, the HAR problem could not be resolved deterministically. Hence, machine learning (ML) algorithm was broadly applied for the advancement of the HAR system to find the patterns of human activity from the sensor data. Therefore, this study presents an Optimal Deep Recurrent Neural Networks for Human Activity Recognition (ODRNN-HAR) on Elderly and Disabled Persons technique in the IoT platform. The intension of the ODRNN-HAR approach lies in the recognition and classification of various kinds of human activities in the IoT environment. Primarily, the ODRNN-HAR technique enables IoT devices to collect human activity data and employs Z-score normalization as a preprocessing step. For effectual recognition of human activities, the ODRNN-HAR technique uses the DRNN model. At the final stage, the optimal hyperparameter adjustment of the DRNN model takes place using the mayfly optimization (MFO) algorithm. The result analysis of the ODRNN-HAR algorithm takes place on benchmark HAR dataset, and the outcomes are examined. The comprehensive simulation outcomes highlighted the improved recognition results of the ODRNN-HAR approach in terms of different measures.
{"title":"Optimal Deep Recurrent Neural Networks for IoT-enabled Human Activity Recognition in Elderly and Disabled Persons","authors":"Faiz Alotaibi, Mrim M. Alnfiai, F. Al-Wesabi, Mesfer Alduhayyem, A. Hilal, M. A. Hamza","doi":"10.57197/jdr-2023-0023","DOIUrl":"https://doi.org/10.57197/jdr-2023-0023","url":null,"abstract":"Aging is related to a decrease in the ability to execute activities of day-to-day routine and decay in physical exercise, which affect mental and physical health. Elderly patients or people can depend on a human activity recognition (HAR) system, which monitors the activity interventions and patterns if any critical event or behavioral changes occur. A HAR system incorporated with the Internet of Things (IoT) environment might allow these people to live independently. While the number of groups of activities and sensor measurements is enormous, the HAR problem could not be resolved deterministically. Hence, machine learning (ML) algorithm was broadly applied for the advancement of the HAR system to find the patterns of human activity from the sensor data. Therefore, this study presents an Optimal Deep Recurrent Neural Networks for Human Activity Recognition (ODRNN-HAR) on Elderly and Disabled Persons technique in the IoT platform. The intension of the ODRNN-HAR approach lies in the recognition and classification of various kinds of human activities in the IoT environment. Primarily, the ODRNN-HAR technique enables IoT devices to collect human activity data and employs Z-score normalization as a preprocessing step. For effectual recognition of human activities, the ODRNN-HAR technique uses the DRNN model. At the final stage, the optimal hyperparameter adjustment of the DRNN model takes place using the mayfly optimization (MFO) algorithm. The result analysis of the ODRNN-HAR algorithm takes place on benchmark HAR dataset, and the outcomes are examined. The comprehensive simulation outcomes highlighted the improved recognition results of the ODRNN-HAR approach in terms of different measures.","PeriodicalId":46073,"journal":{"name":"Scandinavian Journal of Disability Research","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81443963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
U. Umer, S. H. Mian, K. Moiduddin, Hisham Alkhalefah
Three-dimensional (3D) printing, especially using fused deposition modeling, is becoming more and more popular in the medical sector because of its exceptional advantages. While it has been used for prototyping, 3D printing has not yet been completely explored to produce a functional product. The key causes are the abundance of 3D printing materials and the lack of a comprehensive study outlining the design process. Consequently, this paper describes a reverse engineering (RE) design approach based on data acquisition utilizing laser scanning and splint design from the acquired point cloud data. This study also focuses on the evaluation of various wrist orthosis/splint designs and materials using finite element (FE) analysis in order to improve upon the conventional approach. Sixty FE analysis simulations are undertaken in flexion–extension and radial–ulnar wrist movements to investigate the displacements and the stresses. The splint is then fabricated utilizing the material and thickness that have been specified by FE analysis. The major goals of this study are to examine the RE design methodology, explore various materials, and assess the viability of 3D printing. The polylactic acid (PLA) hand splint has proven to be the sturdiest in terms of average displacements when compared to the other materials, followed by polyethylene terephthalate glycol (PETG), acrylonitrile butadiene styrene (ABS), polypropylene, and thermoplastic polyurethanes. According to simulation data, the PLA splint has 38.6%, 38.8%, 38.5%, and 38.7% less displacement in the major loading direction in flexion, extension, radial, and ulnar, respectively, than the ABS splint. Moreover, the PLA-based hand splint has a peak stress value below the yield strength of PLA, rendering it reliable for patients to wear. Also, it turns out that PETG and ABS behave rather similarly. Furthermore, it has been shown that a balanced approach can reduce material use and building time. For instance, employing PLA and a thickness of 2 mm results in reduced material costs without compromising the effectiveness of the splint. As a result, choosing the right material and splint thickness can help the 3D-printed hand splint perform better.
{"title":"Exploring Orthosis Designs for 3D Printing Applying the Finite Element Approach: Study of Different Materials and Loading Conditions","authors":"U. Umer, S. H. Mian, K. Moiduddin, Hisham Alkhalefah","doi":"10.57197/jdr-2023-0011","DOIUrl":"https://doi.org/10.57197/jdr-2023-0011","url":null,"abstract":"Three-dimensional (3D) printing, especially using fused deposition modeling, is becoming more and more popular in the medical sector because of its exceptional advantages. While it has been used for prototyping, 3D printing has not yet been completely explored to produce a functional product. The key causes are the abundance of 3D printing materials and the lack of a comprehensive study outlining the design process. Consequently, this paper describes a reverse engineering (RE) design approach based on data acquisition utilizing laser scanning and splint design from the acquired point cloud data. This study also focuses on the evaluation of various wrist orthosis/splint designs and materials using finite element (FE) analysis in order to improve upon the conventional approach. Sixty FE analysis simulations are undertaken in flexion–extension and radial–ulnar wrist movements to investigate the displacements and the stresses. The splint is then fabricated utilizing the material and thickness that have been specified by FE analysis. The major goals of this study are to examine the RE design methodology, explore various materials, and assess the viability of 3D printing. The polylactic acid (PLA) hand splint has proven to be the sturdiest in terms of average displacements when compared to the other materials, followed by polyethylene terephthalate glycol (PETG), acrylonitrile butadiene styrene (ABS), polypropylene, and thermoplastic polyurethanes. According to simulation data, the PLA splint has 38.6%, 38.8%, 38.5%, and 38.7% less displacement in the major loading direction in flexion, extension, radial, and ulnar, respectively, than the ABS splint. Moreover, the PLA-based hand splint has a peak stress value below the yield strength of PLA, rendering it reliable for patients to wear. Also, it turns out that PETG and ABS behave rather similarly. Furthermore, it has been shown that a balanced approach can reduce material use and building time. For instance, employing PLA and a thickness of 2 mm results in reduced material costs without compromising the effectiveness of the splint. As a result, choosing the right material and splint thickness can help the 3D-printed hand splint perform better.","PeriodicalId":46073,"journal":{"name":"Scandinavian Journal of Disability Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88341473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Who can or cannot claim to represent other members within the disability rights movement has been discussed for decades, mainly concerning being disabled as an eligibility prerequisite. Aim(s): The aim is to analyse arguments concerning representational claims within a Swedish disability rights organisation (DHR, Disability Human Rights). Method: Every member of DHR was given the opportunity to answer three open-ended questions. Answers were subjected to a qualitative content analysis. Results: Two main dimensions of arguments were found. The ideological dimension legitimises representation through lived experience or a human rights approach. The pragmatic dimension legitimises representation through relational claims or organisational necessities. Further analysis revealed a paradox: When a representative is required to have a body with certain characteristics, other knowledge-related aspects risk devaluation. Conclusion(s): Paradoxically, the organisation has a goal of rendering impairment irrelevant in society, while rendering impairment a main issue when electing representatives.
{"title":"The Personal is Political – And Then What? Ideology, Representation, and Legitimacy in a Swedish Disability Organisation","authors":"Oskar Krantz, Stina Melander, J. Bahner","doi":"10.16993/sjdr.1001","DOIUrl":"https://doi.org/10.16993/sjdr.1001","url":null,"abstract":"Background: Who can or cannot claim to represent other members within the disability rights movement has been discussed for decades, mainly concerning being disabled as an eligibility prerequisite. Aim(s): The aim is to analyse arguments concerning representational claims within a Swedish disability rights organisation (DHR, Disability Human Rights). Method: Every member of DHR was given the opportunity to answer three open-ended questions. Answers were subjected to a qualitative content analysis. Results: Two main dimensions of arguments were found. The ideological dimension legitimises representation through lived experience or a human rights approach. The pragmatic dimension legitimises representation through relational claims or organisational necessities. Further analysis revealed a paradox: When a representative is required to have a body with certain characteristics, other knowledge-related aspects risk devaluation. Conclusion(s): Paradoxically, the organisation has a goal of rendering impairment irrelevant in society, while rendering impairment a main issue when electing representatives.","PeriodicalId":46073,"journal":{"name":"Scandinavian Journal of Disability Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67468596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mechanical neck pain (MNP) in the second most common disability among healthcare workers. The main objective of this study was to compare the effects of dry needling (DN) and transcutaneous electrical nerve stimulation (TENS) for the management of MNP among healthcare workers. A single blind RCT (n = 30) was conducted at the Neuro Counsel Clinic, Islamabad. Simple convenient sampling techniques were used to recruit participants of age 20-50 years who had no comorbidity of any kind. Two equal groups were made. Group A received DN for ×1/day for 2 weeks and Group B received TENS at the rate of ×2/day for 2 weeks. Data were evaluated on the basis of Numeric Pain Rating Scale (NPRS) and Neck Disability Index (NDI) score. Prepost data were analyzed for within group (Wilcoxon rank test) and between groups (Mann–Whitney U test). The level of significance was kept at P < 0.05. The mean ± standard deviation (SD) of age in Group A was 33.87 ± 8.18 while in Group B it was 33.67 ± 7.60. Wilcoxon rank test revealed that both techniques are effective for within-group analysis (P < 0.001). Mann–Whitney U test revealed that both techniques showed no significant results on NPRS score as P > 0.05 but the NDI score revealed that there is a significant difference between groups (P < 0.05). On the basis of results, it is concluded that DN is more effective when compared to TENS for disability management in MNP sufferers.
{"title":"Physical Management of Pain and Disability among Healthcare Workers Due to Mechanical Neck Pain: A Randomized Controlled Trial","authors":"M. Salman, M. Shrahili, I. Elbatal","doi":"10.57197/jdr-2023-0022","DOIUrl":"https://doi.org/10.57197/jdr-2023-0022","url":null,"abstract":"Mechanical neck pain (MNP) in the second most common disability among healthcare workers. The main objective of this study was to compare the effects of dry needling (DN) and transcutaneous electrical nerve stimulation (TENS) for the management of MNP among healthcare workers. A single blind RCT (n = 30) was conducted at the Neuro Counsel Clinic, Islamabad. Simple convenient sampling techniques were used to recruit participants of age 20-50 years who had no comorbidity of any kind. Two equal groups were made. Group A received DN for ×1/day for 2 weeks and Group B received TENS at the rate of ×2/day for 2 weeks. Data were evaluated on the basis of Numeric Pain Rating Scale (NPRS) and Neck Disability Index (NDI) score. Prepost data were analyzed for within group (Wilcoxon rank test) and between groups (Mann–Whitney U test). The level of significance was kept at P < 0.05. The mean ± standard deviation (SD) of age in Group A was 33.87 ± 8.18 while in Group B it was 33.67 ± 7.60. Wilcoxon rank test revealed that both techniques are effective for within-group analysis (P < 0.001). Mann–Whitney U test revealed that both techniques showed no significant results on NPRS score as P > 0.05 but the NDI score revealed that there is a significant difference between groups (P < 0.05). On the basis of results, it is concluded that DN is more effective when compared to TENS for disability management in MNP sufferers.","PeriodicalId":46073,"journal":{"name":"Scandinavian Journal of Disability Research","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83564362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohamed Maddeh, S. Ayouni, Shaha T. Al-Otaibi, M. Alazzam, Nazik Alturki, Fahima Hajjej
Under any medical circumstance, the first and foremost requirement is to monitor physiological factors such as heart rate, blood pressure and oxygen level. Any breakdown in their coupling has been linked to ageing or illness. These physiological signals are nonstationary, and this paper analyses the transfer functions of nonstationary multidimensional time series of physiological signals. In this work, a method that integrates physiological modelling and functional elements into the smart bed for patients is proposed. This work includes experimentation on 10 smart bed patients. The proposed idea is validated and analysed to automatically capture any changes in the physiological signals due to postural changes, any impact of ageing or any requirement of a medical emergency. Next, it is demonstrated that the proposed method can be used to identify transient changes linked to medical emergencies for the given time-series data. These findings show the value of the proposed method in predicting the complicated vital-sign processes where conventional manual autoregulatory systems may fail in both healthy and pathological situations. The relation between the time series of physiological signals is an essential study field. A reliable time-varying model is presented to account for the possible nonstationarity of physiological data to determine the possibility of emergency care for patients. The suggested approach can identify variations and relations between signals because it is built as a dynamic model based on time-varying parameters. The technique used in this research includes readings of heart rate, blood pressure and oxygen level connected to the patient’s smart bed. The paper includes transient analysis and parametric evaluation as part of this work.
{"title":"Assisting Healthcare Using a Time-Series-Based Nonstationary Model for Smart Beds","authors":"Mohamed Maddeh, S. Ayouni, Shaha T. Al-Otaibi, M. Alazzam, Nazik Alturki, Fahima Hajjej","doi":"10.57197/jdr-2023-0009","DOIUrl":"https://doi.org/10.57197/jdr-2023-0009","url":null,"abstract":"Under any medical circumstance, the first and foremost requirement is to monitor physiological factors such as heart rate, blood pressure and oxygen level. Any breakdown in their coupling has been linked to ageing or illness. These physiological signals are nonstationary, and this paper analyses the transfer functions of nonstationary multidimensional time series of physiological signals. In this work, a method that integrates physiological modelling and functional elements into the smart bed for patients is proposed. This work includes experimentation on 10 smart bed patients. The proposed idea is validated and analysed to automatically capture any changes in the physiological signals due to postural changes, any impact of ageing or any requirement of a medical emergency. Next, it is demonstrated that the proposed method can be used to identify transient changes linked to medical emergencies for the given time-series data. These findings show the value of the proposed method in predicting the complicated vital-sign processes where conventional manual autoregulatory systems may fail in both healthy and pathological situations. The relation between the time series of physiological signals is an essential study field. A reliable time-varying model is presented to account for the possible nonstationarity of physiological data to determine the possibility of emergency care for patients. The suggested approach can identify variations and relations between signals because it is built as a dynamic model based on time-varying parameters. The technique used in this research includes readings of heart rate, blood pressure and oxygen level connected to the patient’s smart bed. The paper includes transient analysis and parametric evaluation as part of this work.","PeriodicalId":46073,"journal":{"name":"Scandinavian Journal of Disability Research","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81141506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Aldehim, Radwa Marzouk, M. Al-Hagery, A. Hilal, Amani A. Alneil
Gestures are a vital part of our communication. It is a procedure of nonverbal conversation of data which stimulates great concerns regarding the offer of human–computer interaction methods, while permitting users to express themselves intuitively and naturally in various contexts. In most contexts, hand gestures play a vital role in the domain of assistive technologies for visually impaired people (VIP), but an optimum user interaction design is of great significance. The existing studies on the assisting of VIP mostly concentrate on resolving a single task (like reading text or identifying obstacles), thus making the user switch applications for performing other actions. Therefore, this research presents an interactive gesture technique using sand piper optimization with the deep belief network (IGSPO-DBN) technique. The purpose of the IGSPO-DBN technique enables people to handle the devices and exploit different assistance models by the use of different gestures. The IGSPO-DBN technique detects the gestures and classifies them into several kinds using the DBN model. To boost the overall gesture-recognition rate, the IGSPO-DBN technique exploits the SPO algorithm as a hyperparameter optimizer. The simulation outcome of the IGSPO-DBN approach was tested on gesture-recognition dataset and the outcomes showed the improvement of the IGSPO-DBN algorithm over other systems.
{"title":"Automated Gesture-Recognition Solutions using Optimal Deep Belief Network for Visually Challenged People","authors":"G. Aldehim, Radwa Marzouk, M. Al-Hagery, A. Hilal, Amani A. Alneil","doi":"10.57197/jdr-2023-0028","DOIUrl":"https://doi.org/10.57197/jdr-2023-0028","url":null,"abstract":"Gestures are a vital part of our communication. It is a procedure of nonverbal conversation of data which stimulates great concerns regarding the offer of human–computer interaction methods, while permitting users to express themselves intuitively and naturally in various contexts. In most contexts, hand gestures play a vital role in the domain of assistive technologies for visually impaired people (VIP), but an optimum user interaction design is of great significance. The existing studies on the assisting of VIP mostly concentrate on resolving a single task (like reading text or identifying obstacles), thus making the user switch applications for performing other actions. Therefore, this research presents an interactive gesture technique using sand piper optimization with the deep belief network (IGSPO-DBN) technique. The purpose of the IGSPO-DBN technique enables people to handle the devices and exploit different assistance models by the use of different gestures. The IGSPO-DBN technique detects the gestures and classifies them into several kinds using the DBN model. To boost the overall gesture-recognition rate, the IGSPO-DBN technique exploits the SPO algorithm as a hyperparameter optimizer. The simulation outcome of the IGSPO-DBN approach was tested on gesture-recognition dataset and the outcomes showed the improvement of the IGSPO-DBN algorithm over other systems.","PeriodicalId":46073,"journal":{"name":"Scandinavian Journal of Disability Research","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87370469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jaber S. Alzahrani, Mohammed Rizwanullah, A. Osman
Currently, the methods of mobile communications and Internet of Things (IoT) are designed to collect human and environmental data for various intelligent applications and services. Remote monitoring of disabled and elderly people living in smart homes is challenging. Localization and positioning in indoor surroundings need unique solutions. Moreover, positioning remains a crucial feature of any navigation system that assists visually impaired persons (VIPs) in mobility. Other indispensable features of a common indoor navigation system are obstacle avoidance, pathfinding, and abilities for user communication. In recent times, the arrival of smartphones, artificial intelligence, IoT, wearables, etc. makes it possible to devise indoor monitoring systems for smart homecare. Therefore, this study presents an Improved Beluga Whale Optimization Algorithm with fuzzy-based Indoor Activity Monitoring (IBWOA-FIMS) for elderly and VIPs. The presented IBWOA-FIMS technique mainly focused on the identification and classification of indoor activities of elderly and disabled people. To accomplish this, the IBWOA-FIMS technique employs an adaptive neuro fuzzy inference system (ANFIS) model for the indoor monitoring process. In order to improve the monitoring results of the IBWOA-FIMS technique, the IBWOA is used to adjust the parameters related to the ANFIS model. For illustrating the enhanced indoor monitoring results of the IBWOA-FIMS technique, a series of simulations were performed. The simulation values portrayed the betterment of the IBWOA-FIMS technique in terms of different metrics.
{"title":"Piece-Wise Linear Chaotic Mapping-based Beluga Whale Optimization Algorithm-based Indoor Activity Monitoring for Elderly and Visually Impaired Persons","authors":"Jaber S. Alzahrani, Mohammed Rizwanullah, A. Osman","doi":"10.57197/jdr-2023-0030","DOIUrl":"https://doi.org/10.57197/jdr-2023-0030","url":null,"abstract":"Currently, the methods of mobile communications and Internet of Things (IoT) are designed to collect human and environmental data for various intelligent applications and services. Remote monitoring of disabled and elderly people living in smart homes is challenging. Localization and positioning in indoor surroundings need unique solutions. Moreover, positioning remains a crucial feature of any navigation system that assists visually impaired persons (VIPs) in mobility. Other indispensable features of a common indoor navigation system are obstacle avoidance, pathfinding, and abilities for user communication. In recent times, the arrival of smartphones, artificial intelligence, IoT, wearables, etc. makes it possible to devise indoor monitoring systems for smart homecare. Therefore, this study presents an Improved Beluga Whale Optimization Algorithm with fuzzy-based Indoor Activity Monitoring (IBWOA-FIMS) for elderly and VIPs. The presented IBWOA-FIMS technique mainly focused on the identification and classification of indoor activities of elderly and disabled people. To accomplish this, the IBWOA-FIMS technique employs an adaptive neuro fuzzy inference system (ANFIS) model for the indoor monitoring process. In order to improve the monitoring results of the IBWOA-FIMS technique, the IBWOA is used to adjust the parameters related to the ANFIS model. For illustrating the enhanced indoor monitoring results of the IBWOA-FIMS technique, a series of simulations were performed. The simulation values portrayed the betterment of the IBWOA-FIMS technique in terms of different metrics.","PeriodicalId":46073,"journal":{"name":"Scandinavian Journal of Disability Research","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90766746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Alkahtani, H. Alqahtani, Sahar Ziedan Zaien, Tameem Melhem, Abdullah Naif Alanazi
The purpose of this study is to explore the relationship between premenstrual syndrome (PMS) and mindfulness as well as the mediating role of perceived social support (PSS) and health-related quality of life (HRQoL) among deaf/hard-of-hearing women. This is a cross-sectional study. An overall sample of 202 participants was selected. Path analysis was used. As indicated by the results obtained, PMS correlated significantly with mindfulness, PSS, and HRQoL. Moreover, mindfulness correlated significantly and positively with PSS and HRQoL. Besides, there is a significant negative relationship between PSS and HRQoL. PMS has direct effects on PSS and HRQoL. In addition, both PSS and HRQoL have immediate impacts on mindfulness. To conclude, this study examined and confirmed the relationship between PMS and mindfulness as mediated by PSS and HRQoL among deaf/hard-of-hearing women.
{"title":"Premenstrual Syndrome and Mindfulness: The Mediating Effect of Perceived Social Support and Health-Related Quality of Life Among Deaf/Hard-of-Hearing Women","authors":"M. Alkahtani, H. Alqahtani, Sahar Ziedan Zaien, Tameem Melhem, Abdullah Naif Alanazi","doi":"10.57197/jdr-2023-0015","DOIUrl":"https://doi.org/10.57197/jdr-2023-0015","url":null,"abstract":"The purpose of this study is to explore the relationship between premenstrual syndrome (PMS) and mindfulness as well as the mediating role of perceived social support (PSS) and health-related quality of life (HRQoL) among deaf/hard-of-hearing women. This is a cross-sectional study. An overall sample of 202 participants was selected. Path analysis was used. As indicated by the results obtained, PMS correlated significantly with mindfulness, PSS, and HRQoL. Moreover, mindfulness correlated significantly and positively with PSS and HRQoL. Besides, there is a significant negative relationship between PSS and HRQoL. PMS has direct effects on PSS and HRQoL. In addition, both PSS and HRQoL have immediate impacts on mindfulness. To conclude, this study examined and confirmed the relationship between PMS and mindfulness as mediated by PSS and HRQoL among deaf/hard-of-hearing women.","PeriodicalId":46073,"journal":{"name":"Scandinavian Journal of Disability Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88586636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"What’s the ‘Problem’ with Workplace Accommodation? A Disability Policy Journey Over Time","authors":"J. S. Vedeler, C. Anvik","doi":"10.16993/sjdr.918","DOIUrl":"https://doi.org/10.16993/sjdr.918","url":null,"abstract":"","PeriodicalId":46073,"journal":{"name":"Scandinavian Journal of Disability Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67470377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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