Pub Date : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209532
Tao Jiang, Yanhong Ge, Wenfeng Li
Gait analysis provides an effective way for the elderly to monitor abnormal gait, predict fall risk, and evaluate rehabilitation training. The laser range finder mounted on the mobility aids is used to analyze gait characteristics in this paper. The leg data segment recognition method based on Kalman filtering and difference measure is proposed to estimate legs position. The system is developed that detects gait cycle by integrating the zero-point constraint and the crests-based detection method and extracts spatiotemporal gait characteristics. The experimental results demonstrate the effectiveness of the methods.
{"title":"Gait analysis of people relying on mobility aids by using laser range finder","authors":"Tao Jiang, Yanhong Ge, Wenfeng Li","doi":"10.1109/ICHMS49158.2020.9209532","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209532","url":null,"abstract":"Gait analysis provides an effective way for the elderly to monitor abnormal gait, predict fall risk, and evaluate rehabilitation training. The laser range finder mounted on the mobility aids is used to analyze gait characteristics in this paper. The leg data segment recognition method based on Kalman filtering and difference measure is proposed to estimate legs position. The system is developed that detects gait cycle by integrating the zero-point constraint and the crests-based detection method and extracts spatiotemporal gait characteristics. The experimental results demonstrate the effectiveness of the methods.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133285316","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 : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209555
F. Cicirelli, A. Guerrieri, C. Mastroianni, G. Spezzano, Andrea Vinci
The design and implementation of effective systems devoted to the thermal comfort management in a building is a challenging task because they require to consider both objective and subjective parameters, tied for instance to human profile and behavior. This paper presents a novel approach for the management of thermal comfort in buildings by leveraging cognitive technologies, namely the Deep Reinforcement Learning paradigm. The approach is able to learn how to automatically control the HVAC system and improve people’s comfort. The learning process is driven by a reward that includes and combines an environmental reward, related to objective environmental parameters, with a human reward, related to subjective human perceptions that are implicitly inferred by the way people interact with the HVAC system. Simulation results aim to assess the impact of the two types of reward on the achieved comfort level.
{"title":"Thermal comfort management leveraging deep reinforcement learning and human-in-the-loop","authors":"F. Cicirelli, A. Guerrieri, C. Mastroianni, G. Spezzano, Andrea Vinci","doi":"10.1109/ICHMS49158.2020.9209555","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209555","url":null,"abstract":"The design and implementation of effective systems devoted to the thermal comfort management in a building is a challenging task because they require to consider both objective and subjective parameters, tied for instance to human profile and behavior. This paper presents a novel approach for the management of thermal comfort in buildings by leveraging cognitive technologies, namely the Deep Reinforcement Learning paradigm. The approach is able to learn how to automatically control the HVAC system and improve people’s comfort. The learning process is driven by a reward that includes and combines an environmental reward, related to objective environmental parameters, with a human reward, related to subjective human perceptions that are implicitly inferred by the way people interact with the HVAC system. Simulation results aim to assess the impact of the two types of reward on the achieved comfort level.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128516168","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 : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209448
Qiaomei Han, Yanjun Shi, Weiming Shen
With the rapid development of 5G communication technology, various applications of this emerging technology are being developed and deployed in industrial parks. Under a major ongoing project, we are developing a multi-layer collaboration framework to coordinate IoT devices and other resources for the efficient operation of smart factories and the optimal utilization of various resources in industrial parks. This paper focuses on the analytical target cascading mechanism for the smart configuration of this collaboration framework. A virtual industrial park scenario is used to demonstrate the feasibility of the proposed approach.
{"title":"An Analytical Target Cascade Mechanism for Smart Configuration of Collaboration Framework in 5G-Based Industrial Parks","authors":"Qiaomei Han, Yanjun Shi, Weiming Shen","doi":"10.1109/ICHMS49158.2020.9209448","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209448","url":null,"abstract":"With the rapid development of 5G communication technology, various applications of this emerging technology are being developed and deployed in industrial parks. Under a major ongoing project, we are developing a multi-layer collaboration framework to coordinate IoT devices and other resources for the efficient operation of smart factories and the optimal utilization of various resources in industrial parks. This paper focuses on the analytical target cascading mechanism for the smart configuration of this collaboration framework. A virtual industrial park scenario is used to demonstrate the feasibility of the proposed approach.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128979259","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 : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209416
Florencia Garro, Z. McKinney
The brain-computer interface (BCI) field has been growing rapidly, resulting in a wide variety of systems that use different technologies and paradigms to allow interaction between a person and the external world using brain signal responses. The complexity and diversity of BCI-based systems make it difficult to address their usability in a standardized fashion, therefore it is often difficult to correctly identify use-related errors, in order to elaborate robust metrics for improving the system design and to compare it with others. In addition, when a BCI system’s final intended use is a medical application, it must comply with regulatory requirements governing the design process, risk management, and usability assessment in order to be validated and commercialized. Most early-stage BCI designs do not take such requirements into account, which leads to failure in translating functional prototypes into commercial medical devices for further clinical evaluation in advanced stages of the design. This paper proposes a unified framework for usability assessment of BCI design throughout the research and development (R&D) process using a user-centered approach. It focuses on providing a general guideline for BCI for medical applications, considering the risk management process mandatory for medical devices, in which usability is a key aspect for ensuring safety and performance.
{"title":"Toward a Standard User-Centered Design Framework for Medical Applications of Brain-Computer Interfaces","authors":"Florencia Garro, Z. McKinney","doi":"10.1109/ICHMS49158.2020.9209416","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209416","url":null,"abstract":"The brain-computer interface (BCI) field has been growing rapidly, resulting in a wide variety of systems that use different technologies and paradigms to allow interaction between a person and the external world using brain signal responses. The complexity and diversity of BCI-based systems make it difficult to address their usability in a standardized fashion, therefore it is often difficult to correctly identify use-related errors, in order to elaborate robust metrics for improving the system design and to compare it with others. In addition, when a BCI system’s final intended use is a medical application, it must comply with regulatory requirements governing the design process, risk management, and usability assessment in order to be validated and commercialized. Most early-stage BCI designs do not take such requirements into account, which leads to failure in translating functional prototypes into commercial medical devices for further clinical evaluation in advanced stages of the design. This paper proposes a unified framework for usability assessment of BCI design throughout the research and development (R&D) process using a user-centered approach. It focuses on providing a general guideline for BCI for medical applications, considering the risk management process mandatory for medical devices, in which usability is a key aspect for ensuring safety and performance.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132459644","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 : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209358
Ryuichi Furuhashi, Taro Sugihara, Kenji Sato, A. Gofuku
Rehabilitation in patients with phantom limb pain using an electric prosthetic hand is a promising way to mitigate their pain. This method is thought to reconstruct the patient’s sensory-motor loop that connects a command from the brain for a particular movement with the perception that the electric prosthetic hand is actually being driven by this command. A sense of agency (SoA), offered by the feeling that the prosthetic hand is being operated by the patient’s own intentions, is important for this rehabilitation. However, the relationship between characteristics of the prosthetic hand, especially the degree of reproducibility of its appearance and of gripping actions, and the associated SoA is not clear. This study therefore investigated the influence of the reproducibility of gripping action of an electric prosthetic hand and its appearance on participants’ (n = 60) SoA. In advance of adopting patient with phantom limb pain, this study focused on the difference of SoA scores of healthy participants. Significant differences were observed in SoA scores due to the changes in reproducibility of the appearance and gripping action. It is suggested that SoA is more strongly perceived when the prosthetic hand does not strictly resemble a human hand.
{"title":"Tolerance of time delay to the sense of agency for operating electric prosthetic hands: a preliminary experiment with the appearance and gripping action","authors":"Ryuichi Furuhashi, Taro Sugihara, Kenji Sato, A. Gofuku","doi":"10.1109/ICHMS49158.2020.9209358","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209358","url":null,"abstract":"Rehabilitation in patients with phantom limb pain using an electric prosthetic hand is a promising way to mitigate their pain. This method is thought to reconstruct the patient’s sensory-motor loop that connects a command from the brain for a particular movement with the perception that the electric prosthetic hand is actually being driven by this command. A sense of agency (SoA), offered by the feeling that the prosthetic hand is being operated by the patient’s own intentions, is important for this rehabilitation. However, the relationship between characteristics of the prosthetic hand, especially the degree of reproducibility of its appearance and of gripping actions, and the associated SoA is not clear. This study therefore investigated the influence of the reproducibility of gripping action of an electric prosthetic hand and its appearance on participants’ (n = 60) SoA. In advance of adopting patient with phantom limb pain, this study focused on the difference of SoA scores of healthy participants. Significant differences were observed in SoA scores due to the changes in reproducibility of the appearance and gripping action. It is suggested that SoA is more strongly perceived when the prosthetic hand does not strictly resemble a human hand.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132828693","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 : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209541
Xiuwen Fu, Xiaolin He, Yongsheng Yang
Network invulnerability is widely considered as one of the main bottlenecks restricting the widespread application of wireless sensor networks (WSNs). Therefore, in this work, we present a 2-D cellular automata model to mimic the failure process of WSNs. In this model, we consider five failure events of sensor nodes (i.e., energy exhaustion, hardware/software malfunctions, intentional attacks, random attacks and isolation from the sink node). The experimental results have shown that the invulnerability of WSNs under random attacks is better than that under intentional attacks. In addition, through composition analysis of failed sensor nodes, we observe that energy exhaustion is mainly responsible for node failures in the case of random attacks. Isolation from the sink node is the main cause of node failures under intentional attacks. The obtained results can provide theoretical guidance to build a more invulnerable WSN.
{"title":"Invulnerability Analysis of Wireless Sensor Networks based on Cellular Automata","authors":"Xiuwen Fu, Xiaolin He, Yongsheng Yang","doi":"10.1109/ICHMS49158.2020.9209541","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209541","url":null,"abstract":"Network invulnerability is widely considered as one of the main bottlenecks restricting the widespread application of wireless sensor networks (WSNs). Therefore, in this work, we present a 2-D cellular automata model to mimic the failure process of WSNs. In this model, we consider five failure events of sensor nodes (i.e., energy exhaustion, hardware/software malfunctions, intentional attacks, random attacks and isolation from the sink node). The experimental results have shown that the invulnerability of WSNs under random attacks is better than that under intentional attacks. In addition, through composition analysis of failed sensor nodes, we observe that energy exhaustion is mainly responsible for node failures in the case of random attacks. Isolation from the sink node is the main cause of node failures under intentional attacks. The obtained results can provide theoretical guidance to build a more invulnerable WSN.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129575216","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 : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209449
Yao Guo, Raffaele Gravina, Xiao Gu, G. Fortino, Guang-Zhong Yang
The early detection of gait abnormalities plays a key role in medical applications, where most of the previous abnormal gait recognition methods rely on kinematic data captured with vision-based systems or wearable inertial sensors. This paper, conversely, puts forward the ambitious objective to employ multiple wearable Electromyography (EMG) sensors for gait abnormalities detection. Our proposed approach uses eight wireless EMG sensors attached with skin electrodes on four muscles (i.e., Tibialis Anterior, Peroneus Longus, Gas-trocnemius, and Rectus Femoris) per each leg to measure the muscle response during walking activity. In the recognition stage, both meta-features with SVM and Bidirectional Long Short-Term Machine (BiLSTM) are exploited for gait abnormalities recognition from raw EMG data, Discrete Wavelet Transform (DWT) coefficients, and the reconstructed EMG signals, respectively. Experimental results on our gait dataset demonstrate the efficacy of EMG-based abnormal gait detection and recognition.
{"title":"EMG-based Abnormal Gait Detection and Recognition","authors":"Yao Guo, Raffaele Gravina, Xiao Gu, G. Fortino, Guang-Zhong Yang","doi":"10.1109/ICHMS49158.2020.9209449","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209449","url":null,"abstract":"The early detection of gait abnormalities plays a key role in medical applications, where most of the previous abnormal gait recognition methods rely on kinematic data captured with vision-based systems or wearable inertial sensors. This paper, conversely, puts forward the ambitious objective to employ multiple wearable Electromyography (EMG) sensors for gait abnormalities detection. Our proposed approach uses eight wireless EMG sensors attached with skin electrodes on four muscles (i.e., Tibialis Anterior, Peroneus Longus, Gas-trocnemius, and Rectus Femoris) per each leg to measure the muscle response during walking activity. In the recognition stage, both meta-features with SVM and Bidirectional Long Short-Term Machine (BiLSTM) are exploited for gait abnormalities recognition from raw EMG data, Discrete Wavelet Transform (DWT) coefficients, and the reconstructed EMG signals, respectively. Experimental results on our gait dataset demonstrate the efficacy of EMG-based abnormal gait detection and recognition.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127661913","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 : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209435
Victoria Buchholz, S. Kopp
With the introduction of more and more autonomous machines into the work environment, the role of a worker changes from the sole executor of a task to the observer and supervisor of a system that carries out tasks on her behalf. Often, the transparency and predictability of these systems decrease, making it difficult to comprehend underlying processes for the worker. Moreover, monitoring tasks can impose different levels of workload on the human operator leading to an increased risk of making serious errors. The present research aims at developing an adaptive assistance system for these types of tasks that is able to monitor a worker’s current level of mental workload and provides support without reducing the worker’s autonomy and sense of responsibility. We report results of an experiment using a monitoring task incorporating repeated event sequences to simulate underlying workings of a complex system. Results show that performance in connection with eye-tracking measures are suitable indicators of the level of mental workload and that making the worker aware of underlying structures may reduce workload. Further steps towards an adaptive assistance system for monitoring tasks are discussed.
{"title":"Towards an Adaptive Assistance System for Monitoring Tasks: Assessing Mental Workload using Eye-Tracking and Performance Measures","authors":"Victoria Buchholz, S. Kopp","doi":"10.1109/ICHMS49158.2020.9209435","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209435","url":null,"abstract":"With the introduction of more and more autonomous machines into the work environment, the role of a worker changes from the sole executor of a task to the observer and supervisor of a system that carries out tasks on her behalf. Often, the transparency and predictability of these systems decrease, making it difficult to comprehend underlying processes for the worker. Moreover, monitoring tasks can impose different levels of workload on the human operator leading to an increased risk of making serious errors. The present research aims at developing an adaptive assistance system for these types of tasks that is able to monitor a worker’s current level of mental workload and provides support without reducing the worker’s autonomy and sense of responsibility. We report results of an experiment using a monitoring task incorporating repeated event sequences to simulate underlying workings of a complex system. Results show that performance in connection with eye-tracking measures are suitable indicators of the level of mental workload and that making the worker aware of underlying structures may reduce workload. Further steps towards an adaptive assistance system for monitoring tasks are discussed.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116925431","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 : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209457
S. D'amico, Giovanna Stella, S. Gagliano, M. Bucolo, R. Roche
To identify neuroanatomical abnormalities in the brains of people with psychosis, schizophrenia or children experiencing PLEs have been detected atypical activity levels in specific brain regions using fMRI or event-related potentials analysis. Both of these approaches suffer from drawbacks. In this study using EEG signals, the method implemented surpasses the limitations of both. The proposed method combines advanced signal processing, in time and frequency domain, with graph analysis and evaluates the inference across subjects. The first part of the procedure consists of a data preparation phase and of a data analysis phase, based on functional connectivity evaluation using the peak correlation methods. The second part takes into account parametric and topological aspects of the brain network, extracted by the brain connectivity and the graph analysis, obtaining robust and clinically relevant information.
{"title":"Functional Connectivity Analysis by Trial in a Working Memory Task","authors":"S. D'amico, Giovanna Stella, S. Gagliano, M. Bucolo, R. Roche","doi":"10.1109/ICHMS49158.2020.9209457","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209457","url":null,"abstract":"To identify neuroanatomical abnormalities in the brains of people with psychosis, schizophrenia or children experiencing PLEs have been detected atypical activity levels in specific brain regions using fMRI or event-related potentials analysis. Both of these approaches suffer from drawbacks. In this study using EEG signals, the method implemented surpasses the limitations of both. The proposed method combines advanced signal processing, in time and frequency domain, with graph analysis and evaluates the inference across subjects. The first part of the procedure consists of a data preparation phase and of a data analysis phase, based on functional connectivity evaluation using the peak correlation methods. The second part takes into account parametric and topological aspects of the brain network, extracted by the brain connectivity and the graph analysis, obtaining robust and clinically relevant information.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128026668","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 : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209326
Viola Ildikó Matusz, Melinda Rácz, János Rokai, Nikomidisz Eftimiu Jorgosz, Tímea Molnár, Dorina Maráki, I. Ulbert, G. Márton
Eyetracking opens new possibilities for people with physical disabilities, enabling them to explore new ways of communication and interaction with their environment. However, this field of assistive technology is not available to everyone in need and still faces substantial obstacles: high-cost devices for use in real-world environments, difficulty in enhancing the performance of a calibrated system, difficulty in providing a personalized, adaptive setup. The aim of this work is to provide a lightweight, low cost, wireless device with a software performing real-time 2-D gaze prediction in a fixed coordinate system, and the possibility of enhancing performance by recalibration.
{"title":"Head-mounted, wireless eyetracker for real-time gaze prediction utilizing machine-learning","authors":"Viola Ildikó Matusz, Melinda Rácz, János Rokai, Nikomidisz Eftimiu Jorgosz, Tímea Molnár, Dorina Maráki, I. Ulbert, G. Márton","doi":"10.1109/ICHMS49158.2020.9209326","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209326","url":null,"abstract":"Eyetracking opens new possibilities for people with physical disabilities, enabling them to explore new ways of communication and interaction with their environment. However, this field of assistive technology is not available to everyone in need and still faces substantial obstacles: high-cost devices for use in real-world environments, difficulty in enhancing the performance of a calibrated system, difficulty in providing a personalized, adaptive setup. The aim of this work is to provide a lightweight, low cost, wireless device with a software performing real-time 2-D gaze prediction in a fixed coordinate system, and the possibility of enhancing performance by recalibration.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131001522","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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