Pub Date : 2016-09-01DOI: 10.1109/ROMA.2016.7847838
M. Tageldeen, N. Perumal, I. Elamvazuthi, T. Ganesan
Traditional rehabilitation suffers from aplenty downfalls; they are costly and time consuming. Robotic rehabilitation has the potential to be a better substitute. Recent evidence suggests that there is a pressing need to employ the patient muscle effort to control the assistive robot, otherwise the patient may fully depend on the robot, and this leads to slackness and deteriorated muscle functionalities. The development of a non-invasive human-machine interface is challenging, since surface electromyography (sEMG) electrodes are uncertain and noise; hence a model that considers the uncertainty and noise involved seems important. This study aims to contribute to this growing area of research by exploring and comparing the performance of different Fuzzy logic techniques on the estimation of joint torques from relevant muscles electromyography measurements for the accurate control of rehabilitation exoskeletons.
{"title":"Design and control of an upper arm exoskeleton using Fuzzy logic techniques","authors":"M. Tageldeen, N. Perumal, I. Elamvazuthi, T. Ganesan","doi":"10.1109/ROMA.2016.7847838","DOIUrl":"https://doi.org/10.1109/ROMA.2016.7847838","url":null,"abstract":"Traditional rehabilitation suffers from aplenty downfalls; they are costly and time consuming. Robotic rehabilitation has the potential to be a better substitute. Recent evidence suggests that there is a pressing need to employ the patient muscle effort to control the assistive robot, otherwise the patient may fully depend on the robot, and this leads to slackness and deteriorated muscle functionalities. The development of a non-invasive human-machine interface is challenging, since surface electromyography (sEMG) electrodes are uncertain and noise; hence a model that considers the uncertainty and noise involved seems important. This study aims to contribute to this growing area of research by exploring and comparing the performance of different Fuzzy logic techniques on the estimation of joint torques from relevant muscles electromyography measurements for the accurate control of rehabilitation exoskeletons.","PeriodicalId":409977,"journal":{"name":"2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114153561","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}
Pub Date : 2016-09-01DOI: 10.1109/ROMA.2016.7847818
H. Ali, M. Hariharan, S. Yaacob, A. H. Adom, S. K. Za'ba, M. Elshaikh
One of the challenges in automatic facial emotion recognition nowadays is the ability to handle with complicated environment conditions such as in the presence of partial occlusions of facial images. To address this issue, therefore this paper proposed to investigate the effect of facial emotion recognition in the presence of partially occluded images using empirical mode decomposition (EMD). EMD a multi-resolution technique which is adaptively decomposed non-stationary and nonlinear data into a small set of frequency component known as intrinsic mode functions (IMFs). In this work, the face image is firstly projected into 1D signal using the Radon transform. The projected 1D signal is subjected to EMD to extract the significant features based on IMFs. The obtained IMFs features are further reduced using PCA plus LDA to reduce the dimension of the features. Then, the reduced feature vector is used as input to Support Vector Machines (SVM) classifier for recognizing seven facial emotions. A series of experiments has been conducted on the CK database under four different modes of occlusion such as right face occlusion, left face occlusion, upper face occlusion and lower face occlusion. The experimental results show that the upper face occlusion contributes the highest recognition rate which is 93.91%, thus the proposed method demonstrates the promising results.
{"title":"Facial emotion recognition under partial occlusion using Empirical Mode Decomposition","authors":"H. Ali, M. Hariharan, S. Yaacob, A. H. Adom, S. K. Za'ba, M. Elshaikh","doi":"10.1109/ROMA.2016.7847818","DOIUrl":"https://doi.org/10.1109/ROMA.2016.7847818","url":null,"abstract":"One of the challenges in automatic facial emotion recognition nowadays is the ability to handle with complicated environment conditions such as in the presence of partial occlusions of facial images. To address this issue, therefore this paper proposed to investigate the effect of facial emotion recognition in the presence of partially occluded images using empirical mode decomposition (EMD). EMD a multi-resolution technique which is adaptively decomposed non-stationary and nonlinear data into a small set of frequency component known as intrinsic mode functions (IMFs). In this work, the face image is firstly projected into 1D signal using the Radon transform. The projected 1D signal is subjected to EMD to extract the significant features based on IMFs. The obtained IMFs features are further reduced using PCA plus LDA to reduce the dimension of the features. Then, the reduced feature vector is used as input to Support Vector Machines (SVM) classifier for recognizing seven facial emotions. A series of experiments has been conducted on the CK database under four different modes of occlusion such as right face occlusion, left face occlusion, upper face occlusion and lower face occlusion. The experimental results show that the upper face occlusion contributes the highest recognition rate which is 93.91%, thus the proposed method demonstrates the promising results.","PeriodicalId":409977,"journal":{"name":"2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128736546","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}
Pub Date : 2016-09-01DOI: 10.1109/ROMA.2016.7847808
A. A. Razak, A. Abdullah, K. Kamarudin, F. Saad, S. Shukor, H. Mustafa, M. Bakar
The atmospheric hazards that may be present in confined space pose serious threat to human while carrying special task in the respective location. Among the areas that are considered as confined space are utility tunnel, boiler, storage tank, sewage lines, man holes and underground electrical fault. Currently, there is no specific technique to replace worker for task such as collecting air sample in the confined space for monitoring the hazards. A mobile robot integrated with an electronic nose (e-nose) (i.e also called mobile olfaction) can be used to maneuver through the environment and at the same time monitor the hazards. In this paper a mobile robot structure is designed, modeled and simulated for confined space application. The mobile robot is designed to adopt four wheels skid-steering driving mechanism to allow immediate and sharp turning. The mathematical description of the robot is represented by static kinematic model. The robot's rectangular structure is built using hollow rectangular mild steel bars. Simulation is done to analyse the structure's stress and displacement. The analysis of the results indicates that the structure is suitable to be used for the confined space application.
{"title":"Mobile robot structure design, modeling and simulation for confined space application","authors":"A. A. Razak, A. Abdullah, K. Kamarudin, F. Saad, S. Shukor, H. Mustafa, M. Bakar","doi":"10.1109/ROMA.2016.7847808","DOIUrl":"https://doi.org/10.1109/ROMA.2016.7847808","url":null,"abstract":"The atmospheric hazards that may be present in confined space pose serious threat to human while carrying special task in the respective location. Among the areas that are considered as confined space are utility tunnel, boiler, storage tank, sewage lines, man holes and underground electrical fault. Currently, there is no specific technique to replace worker for task such as collecting air sample in the confined space for monitoring the hazards. A mobile robot integrated with an electronic nose (e-nose) (i.e also called mobile olfaction) can be used to maneuver through the environment and at the same time monitor the hazards. In this paper a mobile robot structure is designed, modeled and simulated for confined space application. The mobile robot is designed to adopt four wheels skid-steering driving mechanism to allow immediate and sharp turning. The mathematical description of the robot is represented by static kinematic model. The robot's rectangular structure is built using hollow rectangular mild steel bars. Simulation is done to analyse the structure's stress and displacement. The analysis of the results indicates that the structure is suitable to be used for the confined space application.","PeriodicalId":409977,"journal":{"name":"2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)","volume":"26 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132193524","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}
Pub Date : 2016-09-01DOI: 10.1109/ROMA.2016.7847820
Norjasween Abdul Malik, H. Yussof, F. A. Hanapiah
Socially Assistive Robotics (SAR) is an emerging field of research focused on assisting people through social interaction. Nowadays, attention has been paid on socially assistive robots that mediate communication and social exchange, especially for people with disabilities. Cerebral palsy (CP) is a common neurological disorder among children that impairs motor function and may involve cognitive dysfunction. The use of social assistive robotic technology has created potential approach in CP rehabilitation. The objective of this paper is to compare the study methodology three published articles regarding the SAR in rehabilitation for children with CP and to study the feasibility of using SAR to improve physical and cognitive function of children with CP. This paper also includes methodology description of our current study that has been done to fulfil the research gap found from the previous studies.
{"title":"Potential use of Social Assistive Robot based rehabilitation for children with Cerebral Palsy","authors":"Norjasween Abdul Malik, H. Yussof, F. A. Hanapiah","doi":"10.1109/ROMA.2016.7847820","DOIUrl":"https://doi.org/10.1109/ROMA.2016.7847820","url":null,"abstract":"Socially Assistive Robotics (SAR) is an emerging field of research focused on assisting people through social interaction. Nowadays, attention has been paid on socially assistive robots that mediate communication and social exchange, especially for people with disabilities. Cerebral palsy (CP) is a common neurological disorder among children that impairs motor function and may involve cognitive dysfunction. The use of social assistive robotic technology has created potential approach in CP rehabilitation. The objective of this paper is to compare the study methodology three published articles regarding the SAR in rehabilitation for children with CP and to study the feasibility of using SAR to improve physical and cognitive function of children with CP. This paper also includes methodology description of our current study that has been done to fulfil the research gap found from the previous studies.","PeriodicalId":409977,"journal":{"name":"2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126908105","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}
Pub Date : 2016-09-01DOI: 10.1109/ROMA.2016.7847831
A. Azmin, S. Shamsuddin, H. Yussof
Human-robot interaction (HRI) is an interaction technology which breaks the communication boundaries between humans and robots. HRI research is usually carried out using expensive robots. This has become a limitation in this research area. This study developed a programmed interaction by hacking My Keepon, a toy like-robot to interact with kindergarten children. Feedback on My Keepon features that are attractive to the children during HRI are analysed using Kansei Engineering method to investigate whether the children are attracted towards a simple robot. Four children aged 4 and 5 years old were selected for the HRI observation. The children interacted with My Keepon by touching and responding to sounds from the robot. Video records of the interaction will be analysed by giving scores on eight Kansei emotions. Interview session after the experiment will show how the children emotionally perceive My Keepon. Results will conclude the suitability of My Keepon as a robotic play companion for use in kindergartens.
{"title":"HRI observation with My Keepon robot using Kansei Engineering approach","authors":"A. Azmin, S. Shamsuddin, H. Yussof","doi":"10.1109/ROMA.2016.7847831","DOIUrl":"https://doi.org/10.1109/ROMA.2016.7847831","url":null,"abstract":"Human-robot interaction (HRI) is an interaction technology which breaks the communication boundaries between humans and robots. HRI research is usually carried out using expensive robots. This has become a limitation in this research area. This study developed a programmed interaction by hacking My Keepon, a toy like-robot to interact with kindergarten children. Feedback on My Keepon features that are attractive to the children during HRI are analysed using Kansei Engineering method to investigate whether the children are attracted towards a simple robot. Four children aged 4 and 5 years old were selected for the HRI observation. The children interacted with My Keepon by touching and responding to sounds from the robot. Video records of the interaction will be analysed by giving scores on eight Kansei emotions. Interview session after the experiment will show how the children emotionally perceive My Keepon. Results will conclude the suitability of My Keepon as a robotic play companion for use in kindergartens.","PeriodicalId":409977,"journal":{"name":"2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132854927","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}
Pub Date : 2016-09-01DOI: 10.1109/ROMA.2016.7847819
M. Tageldeen, Irraivan Elamvazuthi, N. Perumal, Timothy Ganesan, A. Borboni
Robotic rehabilitation is overtaking traditional rehabilitation, since it ensures exercises are practiced accurately with flexibility in the degree of assistance that the patients require. Nevertheless, robotics rehabilitation is automatic and can become monotonous, hence, disengage the patient. Although Serious Games are an excellent approach to engaging the patients in robotics rehabilitation with exoskeletons, the lack of a specialty development platform leads game developer to invest a significant amount of time to produce the basic software functionalities of interfacing the hardware and controlling the communication between the different system components. This paper presents a set of interfacial nodes that makes up virtual 3D gaming environment that is based on but not limited to upper limb exoskeletons. The nodes use a combination of accelerometer, gyro, compass and a variable resistance to measure the joints kinematics and interpolates the dynamics, the framework provides functions that models the sensors input and simplify object generation in 3D Serious Games engines.
{"title":"Development of a 3D virtual platform for an upper arm robotic exoskeleton","authors":"M. Tageldeen, Irraivan Elamvazuthi, N. Perumal, Timothy Ganesan, A. Borboni","doi":"10.1109/ROMA.2016.7847819","DOIUrl":"https://doi.org/10.1109/ROMA.2016.7847819","url":null,"abstract":"Robotic rehabilitation is overtaking traditional rehabilitation, since it ensures exercises are practiced accurately with flexibility in the degree of assistance that the patients require. Nevertheless, robotics rehabilitation is automatic and can become monotonous, hence, disengage the patient. Although Serious Games are an excellent approach to engaging the patients in robotics rehabilitation with exoskeletons, the lack of a specialty development platform leads game developer to invest a significant amount of time to produce the basic software functionalities of interfacing the hardware and controlling the communication between the different system components. This paper presents a set of interfacial nodes that makes up virtual 3D gaming environment that is based on but not limited to upper limb exoskeletons. The nodes use a combination of accelerometer, gyro, compass and a variable resistance to measure the joints kinematics and interpolates the dynamics, the framework provides functions that models the sensors input and simplify object generation in 3D Serious Games engines.","PeriodicalId":409977,"journal":{"name":"2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131652082","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}
Pub Date : 2016-09-01DOI: 10.1109/ROMA.2016.7847805
N. Rosli, R. Ibrahim, I. Ismail, S. Hassan, Tran Duc Chung
This paper presents a comparative study and analysis of different neural network architectures of which one will be recommended towards adoption for developing a prediction model for gas metering system. Thus, the focus of this paper is to select the most suitable neural network architecture for gas metering system prediction model. A few neural networks architecture are modeled and simulated; Radial basis Function (RBF), Multilayer Perceptron (MLP), Elman Network, Generalized Regression Neural Networks (GRNN) and Elman Neural Network. In order to select the best architecture, the performance of the various networks considered are compared. From the results obtained, the network architecture that results in the best performance is the RBF network structure. Hence recommended for adoption for the design.
{"title":"Neural network architecture selection for efficient prediction model of gas metering system","authors":"N. Rosli, R. Ibrahim, I. Ismail, S. Hassan, Tran Duc Chung","doi":"10.1109/ROMA.2016.7847805","DOIUrl":"https://doi.org/10.1109/ROMA.2016.7847805","url":null,"abstract":"This paper presents a comparative study and analysis of different neural network architectures of which one will be recommended towards adoption for developing a prediction model for gas metering system. Thus, the focus of this paper is to select the most suitable neural network architecture for gas metering system prediction model. A few neural networks architecture are modeled and simulated; Radial basis Function (RBF), Multilayer Perceptron (MLP), Elman Network, Generalized Regression Neural Networks (GRNN) and Elman Neural Network. In order to select the best architecture, the performance of the various networks considered are compared. From the results obtained, the network architecture that results in the best performance is the RBF network structure. Hence recommended for adoption for the design.","PeriodicalId":409977,"journal":{"name":"2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134286286","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}
Pub Date : 2016-09-01DOI: 10.1109/ROMA.2016.7847829
S. Korkua, S. Chandhaket, Kamon Thinsurat, Komon Pornbandit
Owing to various advantages over conventional drying systems, microwave drying technology has been widely applied to vast industrial applications. During microwave drying especially in high moisture content products such as fruits and vegetables, temperature will increase dramatically since they are very responsive to microwave absorption. The characteristics of materials may change with the uncontrolled temperature and result in thermal burning and non-uniform temperature distribution in treated materials. To ensure the effective control without the material degradation, in this paper we propose the automatic phase-controlled of magnetron driver based on temperature detection. The low cost and non-contact infrared temperature measurement is implemented and evaluated in microwave environment. The objective of this proposed control is to automatically control the power output of the magnetron according to the actual product temperature. The hardware component selections and software flowchart are described. The feedback control algorithm based on microcontroller Arduino Mega 2560 is also presented in details. Experimental results of the proposed automatic temperature control of microwave drying system are investigated and verified the effectiveness of the proposed control system.
微波干燥技术由于具有传统干燥系统所没有的种种优点，在工业上得到了广泛的应用。在微波干燥过程中，特别是在水果和蔬菜等高水分产品中，温度会急剧升高，因为它们对微波吸收非常敏感。材料的特性会随着温度的不控制而发生变化，从而导致被处理材料的热燃烧和温度分布不均匀。为了保证有效控制而不导致材料退化，本文提出了一种基于温度检测的磁控管驱动自动控相方法。在微波环境下实现了低成本、非接触式红外测温方法，并对其进行了评价。该控制的目标是根据实际产品温度自动控制磁控管的功率输出。描述了硬件元件的选择和软件流程图。详细介绍了基于Arduino Mega 2560单片机的反馈控制算法。对所提出的微波干燥系统温度自动控制的实验结果进行了研究，验证了所提出的控制系统的有效性。
{"title":"Design of automatic phase-controlled converter based on temperature for microwave drying system","authors":"S. Korkua, S. Chandhaket, Kamon Thinsurat, Komon Pornbandit","doi":"10.1109/ROMA.2016.7847829","DOIUrl":"https://doi.org/10.1109/ROMA.2016.7847829","url":null,"abstract":"Owing to various advantages over conventional drying systems, microwave drying technology has been widely applied to vast industrial applications. During microwave drying especially in high moisture content products such as fruits and vegetables, temperature will increase dramatically since they are very responsive to microwave absorption. The characteristics of materials may change with the uncontrolled temperature and result in thermal burning and non-uniform temperature distribution in treated materials. To ensure the effective control without the material degradation, in this paper we propose the automatic phase-controlled of magnetron driver based on temperature detection. The low cost and non-contact infrared temperature measurement is implemented and evaluated in microwave environment. The objective of this proposed control is to automatically control the power output of the magnetron according to the actual product temperature. The hardware component selections and software flowchart are described. The feedback control algorithm based on microcontroller Arduino Mega 2560 is also presented in details. Experimental results of the proposed automatic temperature control of microwave drying system are investigated and verified the effectiveness of the proposed control system.","PeriodicalId":409977,"journal":{"name":"2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122276973","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}
Pub Date : 2016-09-01DOI: 10.1109/ROMA.2016.7847827
C. Vázquez, Anel Garza, Miguel Arroyo
The aim of this paper is to present a robust and a reliable methodology based on concurrent evaluation of Identification Marks for Automotive Glass. The proposed methodology is modeled using Petri Nets and a test implementation of the algorithm was successfully achieved to evaluate a set of samples.
{"title":"Enhanced vision algorithm for concurrent assessment of Identification Marks for glass manufacturing","authors":"C. Vázquez, Anel Garza, Miguel Arroyo","doi":"10.1109/ROMA.2016.7847827","DOIUrl":"https://doi.org/10.1109/ROMA.2016.7847827","url":null,"abstract":"The aim of this paper is to present a robust and a reliable methodology based on concurrent evaluation of Identification Marks for Automotive Glass. The proposed methodology is modeled using Petri Nets and a test implementation of the algorithm was successfully achieved to evaluate a set of samples.","PeriodicalId":409977,"journal":{"name":"2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124038200","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}
Pub Date : 2016-09-01DOI: 10.1109/ROMA.2016.7847822
Sharvindsing Karia, S. Parasuraman, M.K.A.Ahmed Khan, I. Elamvazuthi, Niranjan Debnath, S. Ali
In this paper, the plantar pressure distribution and the center of pressure movement were studied and gait stability of high heels versus normal heels was observed. A group of ten young female participants without any previous lower limbs injuries were asked to wear shoes of different heel heights, namely, 0cm, 2cm and 4cm and walk at a speed of 3km/hr on a treadmill. The pressure that their body exerts on the ground was recorded and analyzed. A statistical analysis was conducted and observed for the center of pressure (p<0.05), peak pressure (p<0.05) and the gait stability. The center of pressure moved from the heel to toe as heel height was increased and the peak pressure moved to the forefoot region. Tukey post-hoc analysis was performed in order to observe the differences in peak pressure in the forefoot, mid-foot and rear foot region. It was found that as the subjects wore a 4cm heel height shoes, the peak pressure was increased in the rear foot regions of the right foot. This resulted from the fact that they tend to lean on their right foot owing to instability during gait.
{"title":"Plantar pressure distribution and gait stability: Normal VS high heel","authors":"Sharvindsing Karia, S. Parasuraman, M.K.A.Ahmed Khan, I. Elamvazuthi, Niranjan Debnath, S. Ali","doi":"10.1109/ROMA.2016.7847822","DOIUrl":"https://doi.org/10.1109/ROMA.2016.7847822","url":null,"abstract":"In this paper, the plantar pressure distribution and the center of pressure movement were studied and gait stability of high heels versus normal heels was observed. A group of ten young female participants without any previous lower limbs injuries were asked to wear shoes of different heel heights, namely, 0cm, 2cm and 4cm and walk at a speed of 3km/hr on a treadmill. The pressure that their body exerts on the ground was recorded and analyzed. A statistical analysis was conducted and observed for the center of pressure (p<0.05), peak pressure (p<0.05) and the gait stability. The center of pressure moved from the heel to toe as heel height was increased and the peak pressure moved to the forefoot region. Tukey post-hoc analysis was performed in order to observe the differences in peak pressure in the forefoot, mid-foot and rear foot region. It was found that as the subjects wore a 4cm heel height shoes, the peak pressure was increased in the rear foot regions of the right foot. This resulted from the fact that they tend to lean on their right foot owing to instability during gait.","PeriodicalId":409977,"journal":{"name":"2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114931035","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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