Pub Date : 2020-09-01DOI: 10.1109/ICHMS49158.2020.9209539
Markus Thaler, Stephan Schlögl, Aleksander Groth
Visual appearance is an important aspect influencing the perception and consequent acceptance of Embodied Conversational Agents (ECA). To this end, the Uncanny Valley theory contradicts the common assumption that increased humanization of characters leads to better acceptance. Rather, it shows that anthropomorphic behavior may trigger feelings of eeriness and rejection in people. The work presented in this paper explores whether four different autonomous ECAs, specifically build for a European research project, are affected by this effect, and how they compare to two slightly more realistically looking human-controlled, i.e. face-tracked, ECAs with respect to perceived humanness, eeriness, and attractiveness. Short videos of the ECAs in combination with a validated questionnaire were used to investigate potential differences. Results support existing theories highlighting that increased perceived humanness correlates with increased perceived eeriness. Furthermore, it was found, that neither the gender of survey participants, their age, nor the sex of the ECA influences this effect, and that female ECAs are perceived to be significantly more attractive than their male counterparts.
{"title":"Agent vs. Avatar: Comparing Embodied Conversational Agents Concerning Characteristics of the Uncanny Valley","authors":"Markus Thaler, Stephan Schlögl, Aleksander Groth","doi":"10.1109/ICHMS49158.2020.9209539","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209539","url":null,"abstract":"Visual appearance is an important aspect influencing the perception and consequent acceptance of Embodied Conversational Agents (ECA). To this end, the Uncanny Valley theory contradicts the common assumption that increased humanization of characters leads to better acceptance. Rather, it shows that anthropomorphic behavior may trigger feelings of eeriness and rejection in people. The work presented in this paper explores whether four different autonomous ECAs, specifically build for a European research project, are affected by this effect, and how they compare to two slightly more realistically looking human-controlled, i.e. face-tracked, ECAs with respect to perceived humanness, eeriness, and attractiveness. Short videos of the ECAs in combination with a validated questionnaire were used to investigate potential differences. Results support existing theories highlighting that increased perceived humanness correlates with increased perceived eeriness. Furthermore, it was found, that neither the gender of survey participants, their age, nor the sex of the ECA influences this effect, and that female ECAs are perceived to be significantly more attractive than their male counterparts.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"15 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":"133506789","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/ICHMS49158.2020.9209476
Zheng Wu, A. Nürnberger, B. Sabel
When vision is lost in patients with optic nerve damage, partially damaged areas of residual vision (ARV) are found in their visual fields. Here, detection of visual targets is unstable due to cell loss and lack of neuronal synchronization. Because ARVs have the greatest potential for vision recovery and restoration, we described their dynamic brain network reorganization and evaluate how target detection is controlled by rapid functional brain network changes in ARV. Our study sheds light on the inner brain network topology changes during vision cognition in patients and how network integration and segregation features are associated with plasticity of residual vision from a global network perspective.
{"title":"Dynamic functional network response to visual stimulus in areas of residual vision","authors":"Zheng Wu, A. Nürnberger, B. Sabel","doi":"10.1109/ICHMS49158.2020.9209476","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209476","url":null,"abstract":"When vision is lost in patients with optic nerve damage, partially damaged areas of residual vision (ARV) are found in their visual fields. Here, detection of visual targets is unstable due to cell loss and lack of neuronal synchronization. Because ARVs have the greatest potential for vision recovery and restoration, we described their dynamic brain network reorganization and evaluate how target detection is controlled by rapid functional brain network changes in ARV. Our study sheds light on the inner brain network topology changes during vision cognition in patients and how network integration and segregation features are associated with plasticity of residual vision from a global network perspective.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"159 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":"133907127","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/ICHMS49158.2020.9209507
R. Falcone, A. Sapienza
We aim to show how the classical tool of social recommendation, massively used in social interactions, has to be more deeply analyzed within the new digitally infrastructured societies. We state that within these highly dynamic contexts it is fundamental to restructure the concept of recommendation. We tested our solutions by means of a multi-agent social simulation, identifying when it is more convenient to combine inferential processes with recommendations, i.e. focusing on recommending categories of agents rather than specific individuals. We found that within open networks and in the presence of not so reliable recommenders, category’s recommendations are better. The results we obtained are in agreement with the literature and can be of important interest for the development of this sector.
{"title":"Recommendations In The Virtual Societies: Some Considerations","authors":"R. Falcone, A. Sapienza","doi":"10.1109/ICHMS49158.2020.9209507","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209507","url":null,"abstract":"We aim to show how the classical tool of social recommendation, massively used in social interactions, has to be more deeply analyzed within the new digitally infrastructured societies. We state that within these highly dynamic contexts it is fundamental to restructure the concept of recommendation. We tested our solutions by means of a multi-agent social simulation, identifying when it is more convenient to combine inferential processes with recommendations, i.e. focusing on recommending categories of agents rather than specific individuals. We found that within open networks and in the presence of not so reliable recommenders, category’s recommendations are better. The results we obtained are in agreement with the literature and can be of important interest for the development of this sector.","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":"131538280","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/ICHMS49158.2020.9209509
Chao He, D. Söffker
The human factors area is one of the core field of industrial safety. It is deeply recognized that human factors are the main cause of accidents and breakdowns in various industries. Physiological mental states of human operators, like fatigue or vigilance, are crucial for the evaluation of human operators reliability. However, the shortages of measurements of physiological mental states limit their application. So human reliability analysis (HRA) is developed and many techniques have been developed. Among these techniques, cognitive reliability and error analysis method (CREAM) is often applied and discussed. Due to the application limits of common performance conditions (CPCs) in original CREAM approach, it is advised to generate a new list of CPCs for the application domain if CREAM approach is applied to other domains. In this contribution, a new approach defining a situated and dynamical human reliability measure is established. The approach is based on the well-known CREAM approach, which is modified with respect to the use in dynamical context. The new list of CPCs, their levels and corresponding effects on human reliability are determined. A new index, human performance reliability score (HPRS), is proposed for the assessment of human operator reliability. Finally, the applicability and correctness of the newly established approach is verified by data analysis.
{"title":"Establishing a modified CREAM approach for reliability evaluation","authors":"Chao He, D. Söffker","doi":"10.1109/ICHMS49158.2020.9209509","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209509","url":null,"abstract":"The human factors area is one of the core field of industrial safety. It is deeply recognized that human factors are the main cause of accidents and breakdowns in various industries. Physiological mental states of human operators, like fatigue or vigilance, are crucial for the evaluation of human operators reliability. However, the shortages of measurements of physiological mental states limit their application. So human reliability analysis (HRA) is developed and many techniques have been developed. Among these techniques, cognitive reliability and error analysis method (CREAM) is often applied and discussed. Due to the application limits of common performance conditions (CPCs) in original CREAM approach, it is advised to generate a new list of CPCs for the application domain if CREAM approach is applied to other domains. In this contribution, a new approach defining a situated and dynamical human reliability measure is established. The approach is based on the well-known CREAM approach, which is modified with respect to the use in dynamical context. The new list of CPCs, their levels and corresponding effects on human reliability are determined. A new index, human performance reliability score (HPRS), is proposed for the assessment of human operator reliability. Finally, the applicability and correctness of the newly established approach is verified by data analysis.","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":"132252932","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/ICHMS49158.2020.9209362
Salih Ergün, A. Karadeniz, Sercan Tanriseven, Ibadullah Yasin Simsek
In recent years we are facing with new arising concepts in the gastronomy sector as a consequence of the new advancements in industry 4.0. Preparing food, cooking, serving and other gastronomic processes have evolved with the new trends blending IoT (Internet of Things), AR (Augmented reality), VR (Virtual Reality) and even robotics. In this paper we present an innovative concept named AR-SI. It’s an AR-supported induction cooker presented as a preliminary study of a step before the food robot. AR-SI cooker is a holistic solution implemented with IoT and smart weight control which makes it possible to establish connected and distributed food practicing and adaptive power control in addition to AR support. The induction-based cooking is provided as an electronic kitchen appliance which forms the basis of cooking layout. This innovative holistic approach qualifies the AR-SI cooker through a virtual assistant that can be used for a distinguished interactive food preparation and training experience. The meal recipe is uttered explaining how to prepare the ingredients and cook with prescribed weight control. The recipe is animated by 3D graphics in augmented form on the actual cooker for the preparation of delicious meals.
{"title":"AR-Supported Induction Cooker AR-SI: One Step before the Food Robot","authors":"Salih Ergün, A. Karadeniz, Sercan Tanriseven, Ibadullah Yasin Simsek","doi":"10.1109/ICHMS49158.2020.9209362","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209362","url":null,"abstract":"In recent years we are facing with new arising concepts in the gastronomy sector as a consequence of the new advancements in industry 4.0. Preparing food, cooking, serving and other gastronomic processes have evolved with the new trends blending IoT (Internet of Things), AR (Augmented reality), VR (Virtual Reality) and even robotics. In this paper we present an innovative concept named AR-SI. It’s an AR-supported induction cooker presented as a preliminary study of a step before the food robot. AR-SI cooker is a holistic solution implemented with IoT and smart weight control which makes it possible to establish connected and distributed food practicing and adaptive power control in addition to AR support. The induction-based cooking is provided as an electronic kitchen appliance which forms the basis of cooking layout. This innovative holistic approach qualifies the AR-SI cooker through a virtual assistant that can be used for a distinguished interactive food preparation and training experience. The meal recipe is uttered explaining how to prepare the ingredients and cook with prescribed weight control. The recipe is animated by 3D graphics in augmented form on the actual cooker for the preparation of delicious meals.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"427 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":"132651082","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/ICHMS49158.2020.9209573
Wentao Dong, Lin Yang, G. Fortino
Eye movement detection is widely applied to safety driving areas for reducing the traffic accidents, which is related with the acquisition of different kinds of electrophysiological signals. Soft multi-functional electronic skin (SMFES) is created to collect skin temperature, sweating, and electrooculogram (EOG) signals simultaneously for drivers’ eye movement monitoring, which is conformal contact with the surface of skin for more stable and accurate biological data. The feature signals are extracted with different eye movements by SMFES which is helpful to recognize drivers’ eye movements and to predict the fatigue driving behaviors. Adaptive neuro fuzzy inference system (ANFIS) model is built to classify and recognize the typical eye movements for devoting the relationship between the eye movements (‘Up’, ‘Down’, ‘Left’, and ‘Right’) and the physiological signals. This work demonstrates an intelligent recognition algorithm embedded into SMFES seamlessly with existing driving environment for eye motion detection, expanding the applications of SMFES in safety driving and wearable electronics.
{"title":"Soft multi-functional electronic skin for continuous eye motion monitoring","authors":"Wentao Dong, Lin Yang, G. Fortino","doi":"10.1109/ICHMS49158.2020.9209573","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209573","url":null,"abstract":"Eye movement detection is widely applied to safety driving areas for reducing the traffic accidents, which is related with the acquisition of different kinds of electrophysiological signals. Soft multi-functional electronic skin (SMFES) is created to collect skin temperature, sweating, and electrooculogram (EOG) signals simultaneously for drivers’ eye movement monitoring, which is conformal contact with the surface of skin for more stable and accurate biological data. The feature signals are extracted with different eye movements by SMFES which is helpful to recognize drivers’ eye movements and to predict the fatigue driving behaviors. Adaptive neuro fuzzy inference system (ANFIS) model is built to classify and recognize the typical eye movements for devoting the relationship between the eye movements (‘Up’, ‘Down’, ‘Left’, and ‘Right’) and the physiological signals. This work demonstrates an intelligent recognition algorithm embedded into SMFES seamlessly with existing driving environment for eye motion detection, expanding the applications of SMFES in safety driving and wearable electronics.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"25 4 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":"130699643","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/ICHMS49158.2020.9209518
A. Kanak, Niyazi Ugur, Salih Ergun
Blockchain has the capacity to transform the industries disruptively as it presents new features like smart contracts, tokenization of content, eliminating counterfeit products, supply chain improvement, digital twins, and end-to-end security. This letter presents a Diamond Accountability Model (DAM) where a public or private authority is included in the blockchain transactions providing non-repudiation of digital transactions, holistic security and effective governance. The proposed technique aims to present a decentralized solution for multi-agent applications where many partnering organizations have to collaborate without suffering from the security, accountability, maintenance, scalability, and integrity problems over distributed cyber-physical systems (CPS). The proposed scheme positions authorities also in the chain that enables additional accountability and trust. The scheme proposes a verification mechanism where the authorized organizations are also included in the verification of transactions over the blockchain. In order to elucidate, a conceptual use case is presented where at least two partnering organizations collaborate with each other within a decentralized but also authorized blockchain-enabled scheme.
{"title":"Diamond Accountability Model for Blockchain-enabled Cyber-Physical Systems","authors":"A. Kanak, Niyazi Ugur, Salih Ergun","doi":"10.1109/ICHMS49158.2020.9209518","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209518","url":null,"abstract":"Blockchain has the capacity to transform the industries disruptively as it presents new features like smart contracts, tokenization of content, eliminating counterfeit products, supply chain improvement, digital twins, and end-to-end security. This letter presents a Diamond Accountability Model (DAM) where a public or private authority is included in the blockchain transactions providing non-repudiation of digital transactions, holistic security and effective governance. The proposed technique aims to present a decentralized solution for multi-agent applications where many partnering organizations have to collaborate without suffering from the security, accountability, maintenance, scalability, and integrity problems over distributed cyber-physical systems (CPS). The proposed scheme positions authorities also in the chain that enables additional accountability and trust. The scheme proposes a verification mechanism where the authorized organizations are also included in the verification of transactions over the blockchain. In order to elucidate, a conceptual use case is presented where at least two partnering organizations collaborate with each other within a decentralized but also authorized blockchain-enabled scheme.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"18 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":"127633008","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/ICHMS49158.2020.9209441
Thanos G. Stavropoulos, Stelios Andreadis, Lampros Mpaltadoros, S. Nikolopoulos, Y. Kompatsiaris
Research in sensor technology has provided the scientific community with advanced sensors with higher speed and lower costs, promoting the manufacturing of more efficient, comfortable and affordable wearable devices coupled with pervasive smartphone app usage. A prominent use of wearables and apps is to leverage built-in accelerometers to estimate the user’s steps as a measure of physical activity in an eHealth and well-being context. This study aims to evaluate the accuracy, reliability and user preferences of nine prominent devices and apps in a trial with 33 healthy adults, in natural walking conditions. Based on sales, functions and capabilities we selected 5 wearable devices (Jawbone UP3, Jawbone UP24, Fitbit Charge HR, Fitbit Zip and Microsoft Band) and 4 smartphone apps (Google Fit, Accupedo, Noom Walk and Runtastic). The experiment consisted of three walking tasks, from short to long walking, performed in a wide hallway instead of a treadmill. Steps were counted using a tally counter and measurements were gathered after each task, in software developed for analysis. Results also include data loss and reliability, user preferences and evaluation of trackers through a tailored questionnaire. This generation of devices showed increased accuracy, with error rates of around 5%, mostly in long trials, and small loss of data. Applications are generally showing less accuracy. The study shows that there are trackers in the market that combine high accuracy, reliability, features desired by users and affordable prices, which make them suitable for eHealth applications.
{"title":"Wearable Sensors and Smartphone Apps as Pedometers in eHealth: a Comparative Accuracy, Reliability and User Evaluation","authors":"Thanos G. Stavropoulos, Stelios Andreadis, Lampros Mpaltadoros, S. Nikolopoulos, Y. Kompatsiaris","doi":"10.1109/ICHMS49158.2020.9209441","DOIUrl":"https://doi.org/10.1109/ICHMS49158.2020.9209441","url":null,"abstract":"Research in sensor technology has provided the scientific community with advanced sensors with higher speed and lower costs, promoting the manufacturing of more efficient, comfortable and affordable wearable devices coupled with pervasive smartphone app usage. A prominent use of wearables and apps is to leverage built-in accelerometers to estimate the user’s steps as a measure of physical activity in an eHealth and well-being context. This study aims to evaluate the accuracy, reliability and user preferences of nine prominent devices and apps in a trial with 33 healthy adults, in natural walking conditions. Based on sales, functions and capabilities we selected 5 wearable devices (Jawbone UP3, Jawbone UP24, Fitbit Charge HR, Fitbit Zip and Microsoft Band) and 4 smartphone apps (Google Fit, Accupedo, Noom Walk and Runtastic). The experiment consisted of three walking tasks, from short to long walking, performed in a wide hallway instead of a treadmill. Steps were counted using a tally counter and measurements were gathered after each task, in software developed for analysis. Results also include data loss and reliability, user preferences and evaluation of trackers through a tailored questionnaire. This generation of devices showed increased accuracy, with error rates of around 5%, mostly in long trials, and small loss of data. Applications are generally showing less accuracy. The study shows that there are trackers in the market that combine high accuracy, reliability, features desired by users and affordable prices, which make them suitable for eHealth applications.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"38 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":"126756932","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}
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