Pub Date : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915669
Muhammad B. Abdul Jalil, M. F. Miskon, Ahmad Fauzi Ahmad Kamar
Via-point is a mid-way point between the starting and stopping trajectory points. Finding the via-point from a complex trajectory point data series is challenging due to unknown start and stop points. Therefore, this paper uses the segmentation algorithm to segment the joint space trajectory profile to find the via-point and number of phases in the joint trajectory profile. Our algorithm deals with multiple joint robot configurations to ensure the number of phases is the same for all joints. The algorithm finds the standard deviation, $sigma$ of each joint profile, and selects the highest value referred to as the most dominant joint, Jd, during movement execution. Then segment the Jd based on direction change as a reference to all other joints. We show that the algorithm can locate a via-point to reduce the complexity of robot motion. It shows that the algorithm can produce the same number of segments for the repetitive joint motion.
{"title":"Determination of Via-point Using Threshold-based Segmentation Algorithm for Joint Space Trajectory Profile","authors":"Muhammad B. Abdul Jalil, M. F. Miskon, Ahmad Fauzi Ahmad Kamar","doi":"10.1109/ROMA55875.2022.9915669","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915669","url":null,"abstract":"Via-point is a mid-way point between the starting and stopping trajectory points. Finding the via-point from a complex trajectory point data series is challenging due to unknown start and stop points. Therefore, this paper uses the segmentation algorithm to segment the joint space trajectory profile to find the via-point and number of phases in the joint trajectory profile. Our algorithm deals with multiple joint robot configurations to ensure the number of phases is the same for all joints. The algorithm finds the standard deviation, $sigma$ of each joint profile, and selects the highest value referred to as the most dominant joint, Jd, during movement execution. Then segment the Jd based on direction change as a reference to all other joints. We show that the algorithm can locate a via-point to reduce the complexity of robot motion. It shows that the algorithm can produce the same number of segments for the repetitive joint motion.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132786171","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915699
Jessie Ma, B. Venkatesh
Independent System Operators (ISOs) are confronted with a challenge due to integration of large number of small sized energy storage (ES) units. The challenge stems from choosing: (a) the high cost of monitoring and controlling ES with knowledge of their state of charge (SOC), or (b) absorbing high costs arising from uncertainty and absence of knowing of the SOC values. In either case, these costs would eventually be reflected in electricity prices, and hence ISOs seek to know which of these is the lowest cost option. In this paper, we propose a tool that quantifies the risks associated with allowing private ES owners/operators to manage SOC. SOC can be unavailable at any given hour for any given amount. We solve the UC process for all these scenarios in order to compare impacts, in particular to total commitment costs and prices. We applied our algorithm to a system modelled on a practical transmission system in Ontario. ES units were placed in the system, and their impacts on total commitment costs and prices were observed. Factors that increase total commitments costs include time of day of unavailable ES, larger ES units, and lower availability factors, and vice versa. Using our method, ISOs can make sound policy choices around SOC management responsibility, risk management for unavailable ES, and the role for ES for their unique system.
{"title":"Valuation of State-Of-Charge Management Risks of Energy Storage on Electricity Markets","authors":"Jessie Ma, B. Venkatesh","doi":"10.1109/ROMA55875.2022.9915699","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915699","url":null,"abstract":"Independent System Operators (ISOs) are confronted with a challenge due to integration of large number of small sized energy storage (ES) units. The challenge stems from choosing: (a) the high cost of monitoring and controlling ES with knowledge of their state of charge (SOC), or (b) absorbing high costs arising from uncertainty and absence of knowing of the SOC values. In either case, these costs would eventually be reflected in electricity prices, and hence ISOs seek to know which of these is the lowest cost option. In this paper, we propose a tool that quantifies the risks associated with allowing private ES owners/operators to manage SOC. SOC can be unavailable at any given hour for any given amount. We solve the UC process for all these scenarios in order to compare impacts, in particular to total commitment costs and prices. We applied our algorithm to a system modelled on a practical transmission system in Ontario. ES units were placed in the system, and their impacts on total commitment costs and prices were observed. Factors that increase total commitments costs include time of day of unavailable ES, larger ES units, and lower availability factors, and vice versa. Using our method, ISOs can make sound policy choices around SOC management responsibility, risk management for unavailable ES, and the role for ES for their unique system.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133619223","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915691
B. Balakrishnan, Punit Suryarao, Rashmi Singh, Sakshi Shetty, Sparsha Upadhyay
This paper presents a proposal for the development of a vehicle guard system using face authentication and obstacle detection based on IoT technology. In previously existing systems many verification features like Fingerprint, facial features, and iris scanning are used for various security applications. Few projects used RF transmitters and receivers to detect and control the speed. The drawbacks of the existing systems are, that some systems require the user to remember the password, which is not a convenient option for everybody. Another product also been produced to identify user identity that is an RFID card. Hackers can even alter RFID data and replace it with their own. Some systems use fingerprints to identify a person’s identity. The main reason why biometrics fingerprint lock is not widely used is because of the high price tag and there is possibility of disguised or damaged fingerprints. Some systems detect the obstacle in front of the vehicle, alarm the driver, alert them to move away, and do not take any specific action to avoid the obstacle. The proposed system uses face detection for Identity Verification and gives full access to authorized vehicle drivers based on the interface of Raspberry Pi 4B development board, pi-camera, Ultrasonic sensor, etc. This vehicle stops on detection of an obstacle in the given range. The presence of the ultrasonic sensor increases the efficiency and reliability by enabling the vehicle to detect an approaching object before it and thus stop the vehicle.
{"title":"Vehicle Anti-theft Face Recognition System, Speed Control and Obstacle Detection using Raspberry Pi","authors":"B. Balakrishnan, Punit Suryarao, Rashmi Singh, Sakshi Shetty, Sparsha Upadhyay","doi":"10.1109/ROMA55875.2022.9915691","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915691","url":null,"abstract":"This paper presents a proposal for the development of a vehicle guard system using face authentication and obstacle detection based on IoT technology. In previously existing systems many verification features like Fingerprint, facial features, and iris scanning are used for various security applications. Few projects used RF transmitters and receivers to detect and control the speed. The drawbacks of the existing systems are, that some systems require the user to remember the password, which is not a convenient option for everybody. Another product also been produced to identify user identity that is an RFID card. Hackers can even alter RFID data and replace it with their own. Some systems use fingerprints to identify a person’s identity. The main reason why biometrics fingerprint lock is not widely used is because of the high price tag and there is possibility of disguised or damaged fingerprints. Some systems detect the obstacle in front of the vehicle, alarm the driver, alert them to move away, and do not take any specific action to avoid the obstacle. The proposed system uses face detection for Identity Verification and gives full access to authorized vehicle drivers based on the interface of Raspberry Pi 4B development board, pi-camera, Ultrasonic sensor, etc. This vehicle stops on detection of an obstacle in the given range. The presence of the ultrasonic sensor increases the efficiency and reliability by enabling the vehicle to detect an approaching object before it and thus stop the vehicle.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114240456","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915677
S. Idris, N. A. M. Lazam, L. I. Izhar, Dharwisyah Bt Azman, Lim Jin Way, Intan Aida
Smart healthcare uses technology such as wearable devices and the Internet of Things to dynamically retrieve/access information, which is important for people who require continuous monitoring, that cannot be provided outside of medical facilities. The paper presents a smart health monitoring wristband that uses Arduino Nano 33 IoT with a built-in gyroscope and accelerometer module as the microcontroller, biomedical sensors like temperature sensor, pulse oximeter, heart rate sensor, and GSM/GPRS module. This prototype is developed for all age communities but can be especially useful to the elderly, people with special needs, and those with chronic illnesses. The hardware system is connected to the Blynk application using the microcontroller’s built-in WiFi module. The biomedical sensors measure the readings, and the data are uploaded onto the Blynk application interface for viewing. The Smart Health Monitoring Wristband enables real-time health monitoring to be done remotely and helps in improving emergency response time.
{"title":"Smart Health Monitoring Wristband with Auto-Alert Function","authors":"S. Idris, N. A. M. Lazam, L. I. Izhar, Dharwisyah Bt Azman, Lim Jin Way, Intan Aida","doi":"10.1109/ROMA55875.2022.9915677","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915677","url":null,"abstract":"Smart healthcare uses technology such as wearable devices and the Internet of Things to dynamically retrieve/access information, which is important for people who require continuous monitoring, that cannot be provided outside of medical facilities. The paper presents a smart health monitoring wristband that uses Arduino Nano 33 IoT with a built-in gyroscope and accelerometer module as the microcontroller, biomedical sensors like temperature sensor, pulse oximeter, heart rate sensor, and GSM/GPRS module. This prototype is developed for all age communities but can be especially useful to the elderly, people with special needs, and those with chronic illnesses. The hardware system is connected to the Blynk application using the microcontroller’s built-in WiFi module. The biomedical sensors measure the readings, and the data are uploaded onto the Blynk application interface for viewing. The Smart Health Monitoring Wristband enables real-time health monitoring to be done remotely and helps in improving emergency response time.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117336207","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915673
L. J. de Holanda, Ana R R Lindquist, A. P. M. Fernandes, Débora C.S. Oliveira, D. Nagem, R. de M. Valentim, E. Morya, S. Krishnan
Statistical properties of accelerometer (ACC) are useful to determine the appropriate tool to obtain biomedical signal features for each specific aim. It may be applied to evaluate human movement in order to detect and monitor neuromuscular diseases such as amyotrophic lateral sclerosis (ALS). This study aimed to use techniques to determine the degree of stationarity and linearity of ACC to analyze and compare upper limb (UL) in healthy subjects (HS) and ALS. Our dataset contains 10 being HS (age $48.4pm 4.25$ years) and seven ALS people (age $59.86pm 16.32$ years) who underwent motion analysis from 16 ACC sensors sampled at 148 Hz for 25 seconds, which were positioned over the UL. In the pre-processing stage, we removed the first five seconds, a low pass filter, data normalization, and Euclidean norm of the 3-axis ACC data. Subsequently, we measured the degree of stationarity (mean, variance, and Kwiatkowski-Phillips-Schmidt-Shin test) and linearity (standard deviation, Brock, Dechert & Scheinkman test, and nonlinear autoregressive exogenous test). Proved by experimental results, ACC data of UL segments evaluated showed nonlinear and nonstationary behavior, mainly in the ALS patients. Our findings provide the first applications of statistical methods to guide ACC analysis from the view of nonlinear and nonstationary properties of ACC signals to extract signal features to guide the therapeutic planning of patients and a better control strategy for assistive technologies.
{"title":"Statistical Properties of Upper Limb Accelerometer Signals of Patients with Amyotrophic Lateral Sclerosis","authors":"L. J. de Holanda, Ana R R Lindquist, A. P. M. Fernandes, Débora C.S. Oliveira, D. Nagem, R. de M. Valentim, E. Morya, S. Krishnan","doi":"10.1109/ROMA55875.2022.9915673","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915673","url":null,"abstract":"Statistical properties of accelerometer (ACC) are useful to determine the appropriate tool to obtain biomedical signal features for each specific aim. It may be applied to evaluate human movement in order to detect and monitor neuromuscular diseases such as amyotrophic lateral sclerosis (ALS). This study aimed to use techniques to determine the degree of stationarity and linearity of ACC to analyze and compare upper limb (UL) in healthy subjects (HS) and ALS. Our dataset contains 10 being HS (age $48.4pm 4.25$ years) and seven ALS people (age $59.86pm 16.32$ years) who underwent motion analysis from 16 ACC sensors sampled at 148 Hz for 25 seconds, which were positioned over the UL. In the pre-processing stage, we removed the first five seconds, a low pass filter, data normalization, and Euclidean norm of the 3-axis ACC data. Subsequently, we measured the degree of stationarity (mean, variance, and Kwiatkowski-Phillips-Schmidt-Shin test) and linearity (standard deviation, Brock, Dechert & Scheinkman test, and nonlinear autoregressive exogenous test). Proved by experimental results, ACC data of UL segments evaluated showed nonlinear and nonstationary behavior, mainly in the ALS patients. Our findings provide the first applications of statistical methods to guide ACC analysis from the view of nonlinear and nonstationary properties of ACC signals to extract signal features to guide the therapeutic planning of patients and a better control strategy for assistive technologies.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130134086","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915670
A. T., R. K. Megalingam
With an average of sixty million metric tons of production, coconut plays a significant role in the economy of many countries in South Asia. India produces 25% of the world’s coconuts, and Kerala has about half of India’s. Demand for this cash crop rises daily as consumption spreads across different areas. Upon this increased demand, the workforce shortage also exists. The conventional method of coconut harvesting is no longer attracting the educated youth as they are looking for easier and safer jobs. The main objectives to tackle in this research are problems such as robotic arm reachability issues and low battery life while carrying a higher load. Considering all these factors, we are introducing a petrol engine-based semi-automatic robotic coconut tree climber that can take a person to the top of the tree to harvest the nuts. The introduction of a petrol engine in this climber for drive power limits the battery power usage for controlling applications. This robotic climber uses an anti-fall three-layer contact design, which helps the robot hang on to the tree even if the power gets cut off. The three-layer contact design ensured more stability for the climber. This paper discusses mechanical design, system architecture, dynamic simulation, and static structural analysis.
{"title":"Design and Analysis of Fuel-Based Robotic Coconut Tree Climber","authors":"A. T., R. K. Megalingam","doi":"10.1109/ROMA55875.2022.9915670","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915670","url":null,"abstract":"With an average of sixty million metric tons of production, coconut plays a significant role in the economy of many countries in South Asia. India produces 25% of the world’s coconuts, and Kerala has about half of India’s. Demand for this cash crop rises daily as consumption spreads across different areas. Upon this increased demand, the workforce shortage also exists. The conventional method of coconut harvesting is no longer attracting the educated youth as they are looking for easier and safer jobs. The main objectives to tackle in this research are problems such as robotic arm reachability issues and low battery life while carrying a higher load. Considering all these factors, we are introducing a petrol engine-based semi-automatic robotic coconut tree climber that can take a person to the top of the tree to harvest the nuts. The introduction of a petrol engine in this climber for drive power limits the battery power usage for controlling applications. This robotic climber uses an anti-fall three-layer contact design, which helps the robot hang on to the tree even if the power gets cut off. The three-layer contact design ensured more stability for the climber. This paper discusses mechanical design, system architecture, dynamic simulation, and static structural analysis.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129558443","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915702
Y. Hafeez, Syed Saad Azhar Ali, H. Amin, Syed Faraz Naqvi, Syed Hasan Adil, Tang Tong Boon
The frontal alpha asymmetry represents as the neuromarker for stress. Stress is the psycho-physiological state of brain in response to some event or a demand. The continuous monitoring of mental stress is necessary to avoid chronic health issues. The real-time monitoring of frontal alpha asymmetry is necessary in daily life and to help in the therapy for example neurofeedback. In this paper, different approaches of machine learning and deep learning were adopted to extract the frontal alpha asymmetry features. The results analysis was based on the efficacy and the comparison of techniques for feature extraction has also been presented.
{"title":"Real-time Efficacy of Features Extraction using Machine Learning and Deep Learning for Frontal Alpha Asymmetry.","authors":"Y. Hafeez, Syed Saad Azhar Ali, H. Amin, Syed Faraz Naqvi, Syed Hasan Adil, Tang Tong Boon","doi":"10.1109/ROMA55875.2022.9915702","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915702","url":null,"abstract":"The frontal alpha asymmetry represents as the neuromarker for stress. Stress is the psycho-physiological state of brain in response to some event or a demand. The continuous monitoring of mental stress is necessary to avoid chronic health issues. The real-time monitoring of frontal alpha asymmetry is necessary in daily life and to help in the therapy for example neurofeedback. In this paper, different approaches of machine learning and deep learning were adopted to extract the frontal alpha asymmetry features. The results analysis was based on the efficacy and the comparison of techniques for feature extraction has also been presented.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122529755","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915668
Amelia Sarah Binti Abdul Rahman, L. I. Izhar, P. Sebastian, Ratnasari Nur Rohmah
The goal of this research is to apply machine learning to classify healthy and unhealthy potato crops collected from UAV-based multispectral images, and to establish which spectral band provides the best separation for classification. Traditional detection and mapping approaches take time, involve a lot of human work, and are often subjective. The classification will use the Random Forest Classifier as the machine learning technique to classify based on two vegetation indices: the Normalized Difference Vegetation Index (NDVI) and the Red Edge Normalized Difference Vegetation Index (NDRE). The proposed method includes three primary components: (1) raw picture radiometric correction and orthomosaic combination; (2) dirt and weed removal using a thresholding method; and (3) classification and model training using Random Forest Classifier. The method’s performance is assessed using data from an experimental potato field published by the University of Idaho.
{"title":"Multispectral Image Analysis for Crop Health Monitoring System","authors":"Amelia Sarah Binti Abdul Rahman, L. I. Izhar, P. Sebastian, Ratnasari Nur Rohmah","doi":"10.1109/ROMA55875.2022.9915668","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915668","url":null,"abstract":"The goal of this research is to apply machine learning to classify healthy and unhealthy potato crops collected from UAV-based multispectral images, and to establish which spectral band provides the best separation for classification. Traditional detection and mapping approaches take time, involve a lot of human work, and are often subjective. The classification will use the Random Forest Classifier as the machine learning technique to classify based on two vegetation indices: the Normalized Difference Vegetation Index (NDVI) and the Red Edge Normalized Difference Vegetation Index (NDRE). The proposed method includes three primary components: (1) raw picture radiometric correction and orthomosaic combination; (2) dirt and weed removal using a thresholding method; and (3) classification and model training using Random Forest Classifier. The method’s performance is assessed using data from an experimental potato field published by the University of Idaho.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126855829","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915660
R. Rajkumar, Shivaraman Ramakrishnan, Pavan Nikhil Yeturu, Arutla Siddharth Reddy
Many emerging applications are created with Augment Reality (AR) is to say it’s the doorway to this present reality, involving innovation as another focal point to glance through in education. As the pandemic closes, understudies chasing after their schooling are made to return to their primary methods of disconnected classes after going to classes on the web. The proposed system is a versatile AR application that will increment understudy commitment in the classroom. The application shows dynamic course content rather than the conventional chalkboard. The application uses the marker-based AR module structure to increase a gateway to the board. Whenever the smart devices focus the application towards the class board, the users can see the appropriate video recordings, web pages, and any other interactive activities. The continuous assessment is recorded to compare the proposed and traditional classroom teaching methods. According to the assessment result of the proposed method, it encourages an appropriate use case of AR in the conventional classroom environment.
{"title":"A real-time Augmented Reality application to increase the learners’ engagement in Classroom","authors":"R. Rajkumar, Shivaraman Ramakrishnan, Pavan Nikhil Yeturu, Arutla Siddharth Reddy","doi":"10.1109/ROMA55875.2022.9915660","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915660","url":null,"abstract":"Many emerging applications are created with Augment Reality (AR) is to say it’s the doorway to this present reality, involving innovation as another focal point to glance through in education. As the pandemic closes, understudies chasing after their schooling are made to return to their primary methods of disconnected classes after going to classes on the web. The proposed system is a versatile AR application that will increment understudy commitment in the classroom. The application shows dynamic course content rather than the conventional chalkboard. The application uses the marker-based AR module structure to increase a gateway to the board. Whenever the smart devices focus the application towards the class board, the users can see the appropriate video recordings, web pages, and any other interactive activities. The continuous assessment is recorded to compare the proposed and traditional classroom teaching methods. According to the assessment result of the proposed method, it encourages an appropriate use case of AR in the conventional classroom environment.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132779410","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915667
Nurul Atiqah Othman, N. Zakaria, F. A. Hanapiah, N. M. Hashim, Khairunnisa Johar, C. Y. Low, J. Yee
Performance of a data acquisition system is very important to ensure consistency of the device in collecting quantitative data from patient with spasticity. This study is conducted by two raters with different years of experience, using Wireless Data Acquisition Systems from Biometrics Ltd in compliance with Modified Ashworth Scale (MAS) as a measurement tool. Clinical data from 6 samples of patient with spasticity with different MAS score were analyzed using (i) Levene’s test to compare the quantitative data by analyzing the homogeneity of the variance and, (ii) Pearson Correlation Coefficient (PCC) to determine the correlation of force exerted by the raters during clinical assessment. Objectives of this study are, (i) to evaluate the variance of the equality of the quantitative data, and (ii) to define the correlation of force exerted between Rater 1 and Rater 2. From the conducted research, the homogeneity of angle variance and force is not significant due to inconsistence stretch period during slow and fast stretch. The r-score from PCC analysis for force is showing an unsatisfied correlation due to the different force exerted by the rater. Consequently, an experienced rater has an important role in assisting patients with spasticity. Withstanding by the result obtained, the Wireless Data Acquisition Systems by Biometrics Ltd is attested to be a data acquisition system for clinical usage. It is suggested to improve the quantitative data by increase the number of patients with spasticity.
数据采集系统的性能对于确保设备在收集痉挛患者定量数据时的一致性非常重要。本研究由两名具有不同工作经验的评分员进行，使用biometics有限公司的无线数据采集系统(Wireless Data Acquisition Systems)，并采用改良Ashworth量表(MAS)作为测量工具。对6例MAS评分不同的痉挛患者的临床资料进行分析，采用(i) Levene检验，通过分析方差的齐性来比较定量数据;(ii) Pearson相关系数(PCC)来确定评分者在临床评估时所施加的力的相关性。本研究的目的是(i)评估定量数据相等性的方差，(ii)确定Rater 1和Rater 2之间施加的力的相关性。从研究结果来看，在慢速拉伸和快速拉伸过程中，由于拉伸时间不一致，角度方差和力的均匀性不显著。力的PCC分析的r-score显示出不满意的相关性，由于不同的力施加的评级。因此，经验丰富的评分员在帮助痉挛患者方面起着重要的作用。尽管获得的结果，无线数据采集系统由Biometrics有限公司被证明是一种临床使用的数据采集系统。建议通过增加痉挛患者的数量来改善定量数据。
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