Pub Date : 2016-04-11DOI: 10.1109/ICCPS.2016.7479124
Sriram Vasudevan, N. Shivaraman, A. Easwaran
Cell imbalance in batteries results in the degradation of capacity delivery of the battery. Battery Management System (BMS) uses passive or active balancing techniques to counter this. The strength of a battery measured in terms of State- of-Charge (SoC), is limited by the capacity of its weakest cell leading to under-utilized cells and reduced lifetime. In this paper, we present a novel active cell balancing algorithm to minimize the number of transactions to transfer the capacity between the cells to achieve a balance among cells.
{"title":"WiP Abstract: A Novel Strategy for Active Cell Balancing","authors":"Sriram Vasudevan, N. Shivaraman, A. Easwaran","doi":"10.1109/ICCPS.2016.7479124","DOIUrl":"https://doi.org/10.1109/ICCPS.2016.7479124","url":null,"abstract":"Cell imbalance in batteries results in the degradation of capacity delivery of the battery. Battery Management System (BMS) uses passive or active balancing techniques to counter this. The strength of a battery measured in terms of State- of-Charge (SoC), is limited by the capacity of its weakest cell leading to under-utilized cells and reduced lifetime. In this paper, we present a novel active cell balancing algorithm to minimize the number of transactions to transfer the capacity between the cells to achieve a balance among cells.","PeriodicalId":6619,"journal":{"name":"2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)","volume":"10 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86579137","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}
Traffic signals were originally standalone hardware devices running on fixed schedules, but by now, they have evolved into complex networked systems. As a consequence, traffic signals have become susceptible to attacks through wireless interfaces or even remote attacks through the Internet. Indeed, recent studies have shown that many traffic lights deployed in practice have easily exploitable vulnerabilities, which allow an attacker to tamper with the configuration of the signal. Due to hardware-based failsafes, these vulnerabilities cannot be used to cause accidents. However, they may be used to cause disastrous traffic congestions. Building on Daganzo's well- known traffic model, we introduce an approach for evaluating vulnerabilities of transportation networks, identifying traffic signals that have the greatest impact on congestion and which, therefore, make natural targets for attacks. While we prove that finding an attack that maximally impacts congestion is NP-hard, we also exhibit a polynomial-time heuristic algorithm for computing approximately optimal attacks. We then use numerical experiments to show that our algorithm is extremely efficient in practice. Finally, we also evaluate our approach using the SUMO traffic simulator with a real-world transportation network, demonstrating vulnerabilities of this network. These simulation results extend the numerical experiments by showing that our algorithm is extremely efficient in a microsimulation model as well.
{"title":"Vulnerability of Transportation Networks to Traffic-Signal Tampering","authors":"Aron Laszka, Bradley Potteiger, Yevgeniy Vorobeychik, Saurabh Amin, X. Koutsoukos","doi":"10.1109/ICCPS.2016.7479122","DOIUrl":"https://doi.org/10.1109/ICCPS.2016.7479122","url":null,"abstract":"Traffic signals were originally standalone hardware devices running on fixed schedules, but by now, they have evolved into complex networked systems. As a consequence, traffic signals have become susceptible to attacks through wireless interfaces or even remote attacks through the Internet. Indeed, recent studies have shown that many traffic lights deployed in practice have easily exploitable vulnerabilities, which allow an attacker to tamper with the configuration of the signal. Due to hardware-based failsafes, these vulnerabilities cannot be used to cause accidents. However, they may be used to cause disastrous traffic congestions. Building on Daganzo's well- known traffic model, we introduce an approach for evaluating vulnerabilities of transportation networks, identifying traffic signals that have the greatest impact on congestion and which, therefore, make natural targets for attacks. While we prove that finding an attack that maximally impacts congestion is NP-hard, we also exhibit a polynomial-time heuristic algorithm for computing approximately optimal attacks. We then use numerical experiments to show that our algorithm is extremely efficient in practice. Finally, we also evaluate our approach using the SUMO traffic simulator with a real-world transportation network, demonstrating vulnerabilities of this network. These simulation results extend the numerical experiments by showing that our algorithm is extremely efficient in a microsimulation model as well.","PeriodicalId":6619,"journal":{"name":"2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)","volume":"2 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86834904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-04-11DOI: 10.1109/ICCPS.2016.7479123
T. Ushio, Masaki Hiromoto, A. Okamoto, T. Akiyama
We are developing a taxi cruising support system implemented as a smartphone application. The system consists of the interface manager, the database, the demand predictor, and the optimizer. The interface manager receives data about the current status of each taxi and sends the current optimal cruising direction and predicted future demands to each taxi. The database stores all information used in the support system including historic data on demands. The optimizer computes the optimal cruising directions of taxies using the future demand predicted at the demand predictor. We derive a novel model of collective behaviors of taxies used for computation of the optimal cruising at the optimizer. The model is described by a mixed logical dynamical system.
{"title":"WiP Abstract: A Mixed Logical Dynamical System Model for Taxi Cruising Support System","authors":"T. Ushio, Masaki Hiromoto, A. Okamoto, T. Akiyama","doi":"10.1109/ICCPS.2016.7479123","DOIUrl":"https://doi.org/10.1109/ICCPS.2016.7479123","url":null,"abstract":"We are developing a taxi cruising support system implemented as a smartphone application. The system consists of the interface manager, the database, the demand predictor, and the optimizer. The interface manager receives data about the current status of each taxi and sends the current optimal cruising direction and predicted future demands to each taxi. The database stores all information used in the support system including historic data on demands. The optimizer computes the optimal cruising directions of taxies using the future demand predicted at the demand predictor. We derive a novel model of collective behaviors of taxies used for computation of the optimal cruising at the optimizer. The model is described by a mixed logical dynamical system.","PeriodicalId":6619,"journal":{"name":"2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)","volume":"255 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87056857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-04-11DOI: 10.1109/ICCPS.2016.7479067
Liang He, Eugene Kim, K. Shin
Lithium-ion cells are widely used in various platforms, such as electric vehicles (EVs) and mobile devices. Complete and fast charging of cells has always been the goal for sustainable system operation. However, fast charging is not always the best solution, especially in view of a new finding that cells need to rest/relax after being charged with high current to avoid accelerated capacity fading. Fast charging for its typical Charge-and-Go scenario does not allow this needed relaxation. In this paper, we propose *-Aware, a novel charging algorithm which maximizes the charged capacity within the user-specified available charging time (i.e., user-awareness) while ensuring enough relaxation (i.e., cell-awareness). We motivate and evaluate *-Aware via extensive measurements over 10 months. *-Aware is shown to improve the charged capacity by 6.9-50.5% over other charging algorithms that also ensure relaxation, and by almost 3x in some extreme cases. Furthermore, *-Aware slows down the capacity fading by 49.55% when compared to fast charging.
{"title":"✲-Aware Charging of Lithium-Ion Battery Cells","authors":"Liang He, Eugene Kim, K. Shin","doi":"10.1109/ICCPS.2016.7479067","DOIUrl":"https://doi.org/10.1109/ICCPS.2016.7479067","url":null,"abstract":"Lithium-ion cells are widely used in various platforms, such as electric vehicles (EVs) and mobile devices. Complete and fast charging of cells has always been the goal for sustainable system operation. However, fast charging is not always the best solution, especially in view of a new finding that cells need to rest/relax after being charged with high current to avoid accelerated capacity fading. Fast charging for its typical Charge-and-Go scenario does not allow this needed relaxation. In this paper, we propose *-Aware, a novel charging algorithm which maximizes the charged capacity within the user-specified available charging time (i.e., user-awareness) while ensuring enough relaxation (i.e., cell-awareness). We motivate and evaluate *-Aware via extensive measurements over 10 months. *-Aware is shown to improve the charged capacity by 6.9-50.5% over other charging algorithms that also ensure relaxation, and by almost 3x in some extreme cases. Furthermore, *-Aware slows down the capacity fading by 49.55% when compared to fast charging.","PeriodicalId":6619,"journal":{"name":"2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)","volume":"2016 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86372154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-04-11DOI: 10.1109/ICCPS.2016.7479101
K. Vatanparvar, M. A. Faruque
Tight integration of cyber-dominated control systems and physical systems has helped Electric Vehicles (EV) as a Cyber-Physical System (CPS) to achieve zero-emission transportation capability. However, it poses major difficulties such as poor driving range, high price, and troublesome recharging which demotivate their consumers. These problems have arisen due to the stringent constraints on the EV battery packs. Moreover, the battery capacity degrades overtime and this degradation defines the battery lifetime and shortens the driving range further. The driving range and battery lifetime are mainly influenced by the route behavior, electric motor, and Heating, Ventilation, and Air Conditioning (HVAC) power consumption. In this paper, we present a novel jointly optimized eco-friendly automotive climate control and navigation system methodology. The integration between these two systems helps us to optimize the HVAC utilization and route for better battery lifetime and driving range. We have compared the performance of our methodology with the state-of-the-arts for different weather and route behavior. We have seen upto 24% improvement in battery lifetime and 17% reduction in energy consumption.
{"title":"Eco-Friendly Automotive Climate Control and Navigation System for Electric Vehicles","authors":"K. Vatanparvar, M. A. Faruque","doi":"10.1109/ICCPS.2016.7479101","DOIUrl":"https://doi.org/10.1109/ICCPS.2016.7479101","url":null,"abstract":"Tight integration of cyber-dominated control systems and physical systems has helped Electric Vehicles (EV) as a Cyber-Physical System (CPS) to achieve zero-emission transportation capability. However, it poses major difficulties such as poor driving range, high price, and troublesome recharging which demotivate their consumers. These problems have arisen due to the stringent constraints on the EV battery packs. Moreover, the battery capacity degrades overtime and this degradation defines the battery lifetime and shortens the driving range further. The driving range and battery lifetime are mainly influenced by the route behavior, electric motor, and Heating, Ventilation, and Air Conditioning (HVAC) power consumption. In this paper, we present a novel jointly optimized eco-friendly automotive climate control and navigation system methodology. The integration between these two systems helps us to optimize the HVAC utilization and route for better battery lifetime and driving range. We have compared the performance of our methodology with the state-of-the-arts for different weather and route behavior. We have seen upto 24% improvement in battery lifetime and 17% reduction in energy consumption.","PeriodicalId":6619,"journal":{"name":"2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)","volume":"33 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89433890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-04-11DOI: 10.1109/ICCPS.2016.7479131
Bo Li, Yehan Ma, T. Westenbroek, Chengjie Wu, Humberto González, Chenyang Lu
Wireless sensor-actuator networks (WSANs) are being adopted in process industries because of their advantages in lowering deployment and maintenance costs. While there has been significant theoretical advancement in networked control design, only limited empirical results that combine control design with realistic WSAN standards exist. This paper presents a cyber-physical case study on a wireless process control system that integrates state-of-the-art network control design and a WSAN based on the WirelessHART standard. The case study systematically explores the interactions between wireless routing and control design in the process control plant. The network supports alternative routing strategies, including single-path source routing and multi-path graph routing. To mitigate the effect of data loss in the WSAN, the control design integrates an observer based on an Extended Kalman Filter with a model predictive controller and an actuator buffer of recent control inputs. We observe that sensing and actuation can have different levels of resilience to packet loss under this network control design. We then propose a flexible routing approach where the routing strategy for sensing and actuation can be configured separately. Finally, we show that an asymmetric routing configuration with different routing strategies for sensing and actuation can effectively improve control performance under significant packet loss. Our results highlight the importance of co- joining the design of wireless network protocols and control in wireless control systems.
{"title":"Wireless Routing and Control: A Cyber-Physical Case Study","authors":"Bo Li, Yehan Ma, T. Westenbroek, Chengjie Wu, Humberto González, Chenyang Lu","doi":"10.1109/ICCPS.2016.7479131","DOIUrl":"https://doi.org/10.1109/ICCPS.2016.7479131","url":null,"abstract":"Wireless sensor-actuator networks (WSANs) are being adopted in process industries because of their advantages in lowering deployment and maintenance costs. While there has been significant theoretical advancement in networked control design, only limited empirical results that combine control design with realistic WSAN standards exist. This paper presents a cyber-physical case study on a wireless process control system that integrates state-of-the-art network control design and a WSAN based on the WirelessHART standard. The case study systematically explores the interactions between wireless routing and control design in the process control plant. The network supports alternative routing strategies, including single-path source routing and multi-path graph routing. To mitigate the effect of data loss in the WSAN, the control design integrates an observer based on an Extended Kalman Filter with a model predictive controller and an actuator buffer of recent control inputs. We observe that sensing and actuation can have different levels of resilience to packet loss under this network control design. We then propose a flexible routing approach where the routing strategy for sensing and actuation can be configured separately. Finally, we show that an asymmetric routing configuration with different routing strategies for sensing and actuation can effectively improve control performance under significant packet loss. Our results highlight the importance of co- joining the design of wireless network protocols and control in wireless control systems.","PeriodicalId":6619,"journal":{"name":"2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)","volume":"1 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83139476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-04-11DOI: 10.1109/ICCPS.2016.7479070
Abhinandan Majumdar, Zhiru Zhang, D. Albonesi
Automated building meeting assignment attempts to save meeting room energy by more intelligently assigning meetings to the available rooms. While this approach has shown good potential for particular conditions, it relies on time-consuming building simulations or model based algorithms that do not scale well to larger problems, and fails to account for important building energy factors. We present a new approach to applying and understanding meeting scheduling based on building power characterization. We determine the key factors affecting the building energy consumption with respect to the meeting assignment, and develop an energy savings model. Using this model, we show how meeting room, meeting schedule, and weather related parameters affect the energy savings potential of smart meeting scheduling. We further identify the situations where smart meeting room assignment algorithms would give significant energy savings, and where simple assignment algorithms would suffice. We also demonstrate that the incorporation of key modeling parameters greatly improves modeling accuracy over prior approaches.
{"title":"Characterizing the Benefits and Limitations of Smart Building Meeting Room Scheduling","authors":"Abhinandan Majumdar, Zhiru Zhang, D. Albonesi","doi":"10.1109/ICCPS.2016.7479070","DOIUrl":"https://doi.org/10.1109/ICCPS.2016.7479070","url":null,"abstract":"Automated building meeting assignment attempts to save meeting room energy by more intelligently assigning meetings to the available rooms. While this approach has shown good potential for particular conditions, it relies on time-consuming building simulations or model based algorithms that do not scale well to larger problems, and fails to account for important building energy factors. We present a new approach to applying and understanding meeting scheduling based on building power characterization. We determine the key factors affecting the building energy consumption with respect to the meeting assignment, and develop an energy savings model. Using this model, we show how meeting room, meeting schedule, and weather related parameters affect the energy savings potential of smart meeting scheduling. We further identify the situations where smart meeting room assignment algorithms would give significant energy savings, and where simple assignment algorithms would suffice. We also demonstrate that the incorporation of key modeling parameters greatly improves modeling accuracy over prior approaches.","PeriodicalId":6619,"journal":{"name":"2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)","volume":"4 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84307427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-04-11DOI: 10.1109/ICCPS.2016.7479130
Raphael E. Stern, D. Work, Shumo Cui, H. Pohlmann, Benjamin Seibold, M. D. Monache, B. Piccoli, J. Sprinkle
This work focuses on technologies for cyber physical systems (CPS) to mitigate traffic instabilities that adversely affect fuel consumption (e.g., stop-and-go waves) via precise velocity control of a small number of autonomous vehicles (AVs) on the highway. The main finding is that even a single autonomous vehicle may substantially reduce undesirable traffic waves in its vicinity when properly controlled. The general approach is to use AVs and their sensors to detect congestion events, and then close the loop by carefully following prescribed velocity controllers that are demonstrated to reduce the fuel consumption of the overall traffic flow.
{"title":"WiP Abstract: Stabilizing Traffic with a Single Autonomous Vehicle","authors":"Raphael E. Stern, D. Work, Shumo Cui, H. Pohlmann, Benjamin Seibold, M. D. Monache, B. Piccoli, J. Sprinkle","doi":"10.1109/ICCPS.2016.7479130","DOIUrl":"https://doi.org/10.1109/ICCPS.2016.7479130","url":null,"abstract":"This work focuses on technologies for cyber physical systems (CPS) to mitigate traffic instabilities that adversely affect fuel consumption (e.g., stop-and-go waves) via precise velocity control of a small number of autonomous vehicles (AVs) on the highway. The main finding is that even a single autonomous vehicle may substantially reduce undesirable traffic waves in its vicinity when properly controlled. The general approach is to use AVs and their sensors to detect congestion events, and then close the loop by carefully following prescribed velocity controllers that are demonstrated to reduce the fuel consumption of the overall traffic flow.","PeriodicalId":6619,"journal":{"name":"2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)","volume":"23 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80233551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-04-11DOI: 10.1109/ICCPS.2016.7479094
Fei Miao, Shuo Han, Shan Lin, J. Stankovic, Qian Wang, Desheng Zhang, T. He, George J. Pappas
The objective of the article is to develop a system level control framework, incorporate data information with real-time control decisions, balance vacant taxis with minimum total idle driving distance, and consider model uncertainties.
{"title":"Data-Driven Robust Taxi Dispatch Approaches","authors":"Fei Miao, Shuo Han, Shan Lin, J. Stankovic, Qian Wang, Desheng Zhang, T. He, George J. Pappas","doi":"10.1109/ICCPS.2016.7479094","DOIUrl":"https://doi.org/10.1109/ICCPS.2016.7479094","url":null,"abstract":"The objective of the article is to develop a system level control framework, incorporate data information with real-time control decisions, balance vacant taxis with minimum total idle driving distance, and consider model uncertainties.","PeriodicalId":6619,"journal":{"name":"2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)","volume":"6 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85315757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-04-11DOI: 10.1109/ICCPS.2016.7479097
Mohamed Abdur Rahman
This demo provides an overview of a gesture-based cyber-physical therapy system, which integrates entities in the physical as well as cyber world for therapy sensing, therapeutic data computation, interaction between cyber and physical world, and holistic in-home therapy support through a cloud-based big data architecture. To provide appropriate therapeutic services and environment, the CPS uses a multi-modal multimedia sensory framework to support therapy recording and playback of a therapy session and visualization of effectiveness of an assigned therapy. The physical world interaction with the cyber world is stored as a rich gesture semantics with the help of multiple media streams, which is then uploaded to a tightly synchronized cyber physical cloud environment for deducing real-time and historical whole-body Range of Motion (ROM) kinematic data.
{"title":"Demo Abstract: Gesture-Based Cyber-Physical In-Home Therapy System in a Big Data Environment","authors":"Mohamed Abdur Rahman","doi":"10.1109/ICCPS.2016.7479097","DOIUrl":"https://doi.org/10.1109/ICCPS.2016.7479097","url":null,"abstract":"This demo provides an overview of a gesture-based cyber-physical therapy system, which integrates entities in the physical as well as cyber world for therapy sensing, therapeutic data computation, interaction between cyber and physical world, and holistic in-home therapy support through a cloud-based big data architecture. To provide appropriate therapeutic services and environment, the CPS uses a multi-modal multimedia sensory framework to support therapy recording and playback of a therapy session and visualization of effectiveness of an assigned therapy. The physical world interaction with the cyber world is stored as a rich gesture semantics with the help of multiple media streams, which is then uploaded to a tightly synchronized cyber physical cloud environment for deducing real-time and historical whole-body Range of Motion (ROM) kinematic data.","PeriodicalId":6619,"journal":{"name":"2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)","volume":"29 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90582336","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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