Pub Date : 2015-06-29DOI: 10.1109/PERCOMW.2015.7134070
Osamu Masutani
General vehicles have much potential to contribute to city surveillance in a context of Smart City. Vehicular crowd sensing is essential for reasonable and sustainable city surveillance. We propose route control method to enhance sensing coverage of crowd sensing system. The method is composed of sensing demand-aware cost assignment and a cooperative path reservation. We performed a traffic simulation to evaluate the route control method. The result shows sensing coverage of vehicular crowd sensing can be significantly enhanced without much additional travel of sensing vehicle. Therefore total sensing ability can be increased without enhancing sensor ability or enhancing the number of sensing vehicles.
{"title":"A sensing coverage analysis of a route control method for vehicular crowd sensing","authors":"Osamu Masutani","doi":"10.1109/PERCOMW.2015.7134070","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134070","url":null,"abstract":"General vehicles have much potential to contribute to city surveillance in a context of Smart City. Vehicular crowd sensing is essential for reasonable and sustainable city surveillance. We propose route control method to enhance sensing coverage of crowd sensing system. The method is composed of sensing demand-aware cost assignment and a cooperative path reservation. We performed a traffic simulation to evaluate the route control method. The result shows sensing coverage of vehicular crowd sensing can be significantly enhanced without much additional travel of sensing vehicle. Therefore total sensing ability can be increased without enhancing sensor ability or enhancing the number of sensing vehicles.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128504799","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134063
Daniel Burgstahler, Matthias Pelzer, A. Lotz, F. Knapp, H. Pu, T. Rueckelt, R. Steinmetz
In urban crossroad areas the traffic flow is commonly not efficient. This results in an unnecessary high traffic density within cities and a resulting environmental pollution by the waste of fuel. To improve this situation, the driver should be enabled to better slow down, to better accelerate, to better decide, to better come in and to better follow within crossroads. This can be achieved by a C2X-based crossroads assistant that brings information about crossroads with lanes and traffic lights on time to the driver to decide on a convenient crossing strategy. Within this paper we introduce our concept for such a crossroads assistant that is based on newly standardized C2X message types. We have developed a novel graphical user interface for interpreting this new information sources in an intuitive, informative but not distractive way to the driver. A first prototype is already implemented and under test.
{"title":"A concept for a C2X-based crossroad assistant","authors":"Daniel Burgstahler, Matthias Pelzer, A. Lotz, F. Knapp, H. Pu, T. Rueckelt, R. Steinmetz","doi":"10.1109/PERCOMW.2015.7134063","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134063","url":null,"abstract":"In urban crossroad areas the traffic flow is commonly not efficient. This results in an unnecessary high traffic density within cities and a resulting environmental pollution by the waste of fuel. To improve this situation, the driver should be enabled to better slow down, to better accelerate, to better decide, to better come in and to better follow within crossroads. This can be achieved by a C2X-based crossroads assistant that brings information about crossroads with lanes and traffic lights on time to the driver to decide on a convenient crossing strategy. Within this paper we introduce our concept for such a crossroads assistant that is based on newly standardized C2X message types. We have developed a novel graphical user interface for interpreting this new information sources in an intuitive, informative but not distractive way to the driver. A first prototype is already implemented and under test.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115002985","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134097
Junshuang Yang, Yanyan Li, Mengjun Xie
Wrist worn smart devices such as smart watches become increasingly popular. As those devices collect sensitive personal information, appropriate user authentication is necessary to prevent illegitimate accesses to those devices. However, the small form and function-based usage of those wearable devices pose a big challenge to authentication. In this paper, we study the efficacy of motion based authentication for smart wearable devices. We propose MotionAuth, a behavioral biometric authentication method, which uses a wrist worn device to collect a user's behavioral biometrics and verify the identity of the person wearing the device. MotionAuth builds a user's profile based on motion data collected from motion sensors during the training phase and applies the profile in validating the alleged user during the verification phase. We implement MotionAuth using Android platform and test its effectiveness with real world data collected in a user study involving 30 users. We tested four different gestures including simple, natural gestures. Our experimental results show that MotionAuth can achieve high accuracy (as low as 2.6% EER value) and that even simple, natural gestures such as raising/lowering an arm can be used to verify a person with pretty good accuracy.
{"title":"MotionAuth: Motion-based authentication for wrist worn smart devices","authors":"Junshuang Yang, Yanyan Li, Mengjun Xie","doi":"10.1109/PERCOMW.2015.7134097","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134097","url":null,"abstract":"Wrist worn smart devices such as smart watches become increasingly popular. As those devices collect sensitive personal information, appropriate user authentication is necessary to prevent illegitimate accesses to those devices. However, the small form and function-based usage of those wearable devices pose a big challenge to authentication. In this paper, we study the efficacy of motion based authentication for smart wearable devices. We propose MotionAuth, a behavioral biometric authentication method, which uses a wrist worn device to collect a user's behavioral biometrics and verify the identity of the person wearing the device. MotionAuth builds a user's profile based on motion data collected from motion sensors during the training phase and applies the profile in validating the alleged user during the verification phase. We implement MotionAuth using Android platform and test its effectiveness with real world data collected in a user study involving 30 users. We tested four different gestures including simple, natural gestures. Our experimental results show that MotionAuth can achieve high accuracy (as low as 2.6% EER value) and that even simple, natural gestures such as raising/lowering an arm can be used to verify a person with pretty good accuracy.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115535800","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134093
Christian Raffelsberger, H. Hellwagner
Multimedia delivery systems and protocols usually assume end-to-end connections and low delivery delays between multimedia sources and consumers. However, neither of these two properties can always be achieved in hastily formed networks for emergency response operations. In particular, disruptions may break end-to-end connections, which makes it impossible to deliver multimedia content instantly. This work presents a multimedia delivery system that can operate in disrupted networks and hence may help improve the situational awareness in emergency response operations. The multimedia delivery system is based on HTTP adaptive streaming (HAS) and uses a modified version of HTTP which is able to deliver data in partitioned networks. The multimedia delivery system is evaluated in a realistic emergency response scenario.
{"title":"A multimedia delivery system for delay-/disruption-tolerant networks","authors":"Christian Raffelsberger, H. Hellwagner","doi":"10.1109/PERCOMW.2015.7134093","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134093","url":null,"abstract":"Multimedia delivery systems and protocols usually assume end-to-end connections and low delivery delays between multimedia sources and consumers. However, neither of these two properties can always be achieved in hastily formed networks for emergency response operations. In particular, disruptions may break end-to-end connections, which makes it impossible to deliver multimedia content instantly. This work presents a multimedia delivery system that can operate in disrupted networks and hence may help improve the situational awareness in emergency response operations. The multimedia delivery system is based on HTTP adaptive streaming (HAS) and uses a modified version of HTTP which is able to deliver data in partitioned networks. The multimedia delivery system is evaluated in a realistic emergency response scenario.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116028197","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134015
Kadian Davis, Jun Hu, L. Feijs, Evans Owusu
In this position paper, we propose an unobtrusive solution for improving bonding relations between the elderly and their caregivers, through the Social Hue. The Social Hue is a bidirectional application that is based on the Philips Hue light. To create social presence, activity and emotional states will be detected through sensors and will be transformed into ambient lighting into the elder's home and vice versa without overt communication from participants. Findings are expected to provide a deeper insight on the notion of subtle awareness in relation to social connectivity between the elderly and their caregivers.
{"title":"Social Hue: A subtle awareness system for connecting the elderly and their caregivers","authors":"Kadian Davis, Jun Hu, L. Feijs, Evans Owusu","doi":"10.1109/PERCOMW.2015.7134015","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134015","url":null,"abstract":"In this position paper, we propose an unobtrusive solution for improving bonding relations between the elderly and their caregivers, through the Social Hue. The Social Hue is a bidirectional application that is based on the Philips Hue light. To create social presence, activity and emotional states will be detected through sensors and will be transformed into ambient lighting into the elder's home and vice versa without overt communication from participants. Findings are expected to provide a deeper insight on the notion of subtle awareness in relation to social connectivity between the elderly and their caregivers.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122509344","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134066
Nasimuddin Ahmed, Avik Ghose, A. Agrawal, C. Bhaumik, Vivek Chandel, Abhinav Kumar
Efficient evacuation of large buildings which seat more than twenty thousand people is a major challenge for building management authorities. Although many enterprise buildings have access control to count those entering various areas, such controls need to be switched off at times of emergency to avoid people getting trapped at a particular location. Hence, counting people during evacuation remains largely manual and error prone. Also, last known location based on access control from business management systems can be erroneous due to issues like tail gating. Accurate people counters like Radio Frequency Identification (RFID) often prove costly in large deployments. In this paper we present “SmartEvacTrak”, a low-cost evacuation system which can count people entering and exiting with over 98% accuracy and can also localize people at a coarse level with around 97% accuracy, from results obtained from an evacuation experiment performed on a set of 350+ people randomly exiting a building.
{"title":"SmartEvacTrak: A people counting and coarse-level localization solution for efficient evacuation of large buildings","authors":"Nasimuddin Ahmed, Avik Ghose, A. Agrawal, C. Bhaumik, Vivek Chandel, Abhinav Kumar","doi":"10.1109/PERCOMW.2015.7134066","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134066","url":null,"abstract":"Efficient evacuation of large buildings which seat more than twenty thousand people is a major challenge for building management authorities. Although many enterprise buildings have access control to count those entering various areas, such controls need to be switched off at times of emergency to avoid people getting trapped at a particular location. Hence, counting people during evacuation remains largely manual and error prone. Also, last known location based on access control from business management systems can be erroneous due to issues like tail gating. Accurate people counters like Radio Frequency Identification (RFID) often prove costly in large deployments. In this paper we present “SmartEvacTrak”, a low-cost evacuation system which can count people entering and exiting with over 98% accuracy and can also localize people at a coarse level with around 97% accuracy, from results obtained from an evacuation experiment performed on a set of 350+ people randomly exiting a building.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117025098","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134001
Tatsuya Ito, Kodai Murakami, S. Ishihara
The size of data exchanged via the Internet and the number of Wi-Fi devices have been increasing, and the amount of data traffic will continue to increase in the future. Thus, ensuring the communication capacity of wireless LANs is one of the most important issues. By reducing communication coverage of each wireless LAN access point (AP) and densely deploying APs, it is possible to improve the communication capacity of the wireless LAN. However, the communication capacity decreases due to frequent interference between APs when they are densely deployed. If neighboring APs can use different channels, interference between APs can be avoided. However, if the number of available channels is limited, it is difficult to improve the communication capacity by increasing the density of APs. For further improving the communication capacity of wireless LANs, the management and control of the APs on the same channel is important. In this paper, we present an architecture in which multiple APs working on the same channel concurrently transmit frames avoiding interference to improve the throughput. In the architecture, a device called an aggregator is introduced. All APs are connected to the aggregator, and the aggregator is connected to a wired LAN. The aggregator schedules downstream frames so as to increase the number of concurrent transmissions from multiple access points to different STAs in the area. It calculates SINR of APs and mobile hosts, and schedules concurrent transmissions. To this end, the aggregator obtains the location of the mobile hosts through the visible light communication or some other means. When there is only downstream traffic, simulation results show that the proposed architecture improves the throughput about 10% compared to the normal IEEE 802.11 wireless LAN.
{"title":"Improving wireless LAN throughput by using concurrent transmissions from multiple access points based on location of mobile hosts","authors":"Tatsuya Ito, Kodai Murakami, S. Ishihara","doi":"10.1109/PERCOMW.2015.7134001","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134001","url":null,"abstract":"The size of data exchanged via the Internet and the number of Wi-Fi devices have been increasing, and the amount of data traffic will continue to increase in the future. Thus, ensuring the communication capacity of wireless LANs is one of the most important issues. By reducing communication coverage of each wireless LAN access point (AP) and densely deploying APs, it is possible to improve the communication capacity of the wireless LAN. However, the communication capacity decreases due to frequent interference between APs when they are densely deployed. If neighboring APs can use different channels, interference between APs can be avoided. However, if the number of available channels is limited, it is difficult to improve the communication capacity by increasing the density of APs. For further improving the communication capacity of wireless LANs, the management and control of the APs on the same channel is important. In this paper, we present an architecture in which multiple APs working on the same channel concurrently transmit frames avoiding interference to improve the throughput. In the architecture, a device called an aggregator is introduced. All APs are connected to the aggregator, and the aggregator is connected to a wired LAN. The aggregator schedules downstream frames so as to increase the number of concurrent transmissions from multiple access points to different STAs in the area. It calculates SINR of APs and mobile hosts, and schedules concurrent transmissions. To this end, the aggregator obtains the location of the mobile hosts through the visible light communication or some other means. When there is only downstream traffic, simulation results show that the proposed architecture improves the throughput about 10% compared to the normal IEEE 802.11 wireless LAN.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128223955","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134026
L. E. Talavera, M. Endler, F. Silva
In the Internet of Mobile Things (IoMT) applications dealing with mobile objects may benefit from information if two or more objects are in co-movement, i.e. if they are close to each other and sharing the same movement pattern during some interval of time. In this demo we demonstrate how co-movement can be reliably monitored in a mobile middleware component executing on a smartphone using Complex Event Processing over streams of accelerometer data generated by SensorTags interacting with the smartphone through Bluetooth Low Energy.
{"title":"Demo abstract: Monitoring co-movement of smart objects using accelerometer data","authors":"L. E. Talavera, M. Endler, F. Silva","doi":"10.1109/PERCOMW.2015.7134026","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134026","url":null,"abstract":"In the Internet of Mobile Things (IoMT) applications dealing with mobile objects may benefit from information if two or more objects are in co-movement, i.e. if they are close to each other and sharing the same movement pattern during some interval of time. In this demo we demonstrate how co-movement can be reliably monitored in a mobile middleware component executing on a smartphone using Complex Event Processing over streams of accelerometer data generated by SensorTags interacting with the smartphone through Bluetooth Low Energy.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128371714","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134082
W. Junior, P. Mendes
Social-aware pervasive networks consider the users' social behavior to overcome intermittent end-to-end connectivity, inherent to this type of networking: forwarding decisions consider local knowledge about the behavior of nodes to predict future encounters. Complex Network Analysis (CNA) has been used to support contact prediction, by aggregating connectivity graphs into less volatile social graphs. Nevertheless, the structure of such graphs is rather dynamic, since users' social behavior and interactions vary throughout their daily routines and according to their mobility. Consequently, aggregation algorithms should be able to create social graphs that reflect the resulting dynamic behavior of people. This paper discusses on human behavior-aware aggregation to allow the creation of graphs based on social variations observed in people's daily routines. By focusing on the dynamics of the network, we show that social graphs, reflecting different stages of human social behavior and mobility, are able to take advantage of the potential small-world properties of networks in different time frames, improving the performance of social-aware opportunistic forwarding.
{"title":"Dynamics of social-aware pervasive networks","authors":"W. Junior, P. Mendes","doi":"10.1109/PERCOMW.2015.7134082","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134082","url":null,"abstract":"Social-aware pervasive networks consider the users' social behavior to overcome intermittent end-to-end connectivity, inherent to this type of networking: forwarding decisions consider local knowledge about the behavior of nodes to predict future encounters. Complex Network Analysis (CNA) has been used to support contact prediction, by aggregating connectivity graphs into less volatile social graphs. Nevertheless, the structure of such graphs is rather dynamic, since users' social behavior and interactions vary throughout their daily routines and according to their mobility. Consequently, aggregation algorithms should be able to create social graphs that reflect the resulting dynamic behavior of people. This paper discusses on human behavior-aware aggregation to allow the creation of graphs based on social variations observed in people's daily routines. By focusing on the dynamics of the network, we show that social graphs, reflecting different stages of human social behavior and mobility, are able to take advantage of the potential small-world properties of networks in different time frames, improving the performance of social-aware opportunistic forwarding.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121384573","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134030
Sougata Sen
With the availability of various publicly available and personal sensors, recording and profiling of activities of daily living (ADL) is becoming a reality. The sensors are omnipresent - in smartphones, smartwatches, and smartglasses and even in the environment around us in the form of peer smartphones or even infrastructure sensors such as bluetooth low energy beacons. However, there are various challenges pertaining to the sensor data processing, which makes creation of activities of daily life tracker challenging. In this work, we discuss about some of these challenges. We also discuss about some ADL tracking systems that we have developed and how we have addressed some of the challenges in building these systems. We further discuss about how various ADL trackers can be combined into a framework which can allow individuals to select a custom set of ADLs for self-tracking.
{"title":"Opportunities and challenges in multi-modal sensing for regular lifestyle tracking","authors":"Sougata Sen","doi":"10.1109/PERCOMW.2015.7134030","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134030","url":null,"abstract":"With the availability of various publicly available and personal sensors, recording and profiling of activities of daily living (ADL) is becoming a reality. The sensors are omnipresent - in smartphones, smartwatches, and smartglasses and even in the environment around us in the form of peer smartphones or even infrastructure sensors such as bluetooth low energy beacons. However, there are various challenges pertaining to the sensor data processing, which makes creation of activities of daily life tracker challenging. In this work, we discuss about some of these challenges. We also discuss about some ADL tracking systems that we have developed and how we have addressed some of the challenges in building these systems. We further discuss about how various ADL trackers can be combined into a framework which can allow individuals to select a custom set of ADLs for self-tracking.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126443498","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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