2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)最新文献_第2页

Edge-centric Video Surveillance System Based on Event-driven Rate Adaptation for 24-hour Monitoring 基于事件驱动速率自适应的边缘中心视频监控系统

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-02 DOI: 10.1109/PERCOMW.2018.8480272

Airi Sakaushi, Kenji Kanai, J. Katto, T. Tsuda

引用次数: 2

BLE Beacon-based Activity Monitoring System toward Automatic Generation of Daily Report 基于BLE信标的每日报表自动生成活动监控系统

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-02 DOI: 10.1109/PERCOMW.2018.8480348

Tatsuya Morita, Kenta Taki, Manato Fujimoto, H. Suwa, Yutaka Arakawa, K. Yasumoto

{"title":"BLE Beacon-based Activity Monitoring System toward Automatic Generation of Daily Report","authors":"Tatsuya Morita, Kenta Taki, Manato Fujimoto, H. Suwa, Yutaka Arakawa, K. Yasumoto","doi":"10.1109/PERCOMW.2018.8480348","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480348","url":null,"abstract":"As the world's population of senior citizens continues to grow, the burdens on the professionals who care for them (carers) are also increasing. In nursing homes, carers need to make a daily report for each resident aiming to improve his/her quality of life. However, in the present understaffed situation, it is difficult and burdensome for carers to record the resident's activity in detail since each carer needs to take care of several residents at the same time. In this paper, we propose an automatic daily report generation system which can monitor the activity of multiple residents in nursing homes. Knowing that important activities such as toilet, bathing, rehabilitation and so on take place in specific areas in a nursing home, it is possible to record residents' activities by tracking their stay areas and movement between the areas within the day. Our proposed system estimates stay areas of multiple residents by machine learning for RSSI values that are sent from BLE beacons attached to residents and received at BLE scanners deployed over multiple areas, and records activities of the residents determined based on their estimated stay areas. The proposed system can also output a daily report of each resident based on the recorded data. We carried out a five-day experiment with four elderly participants in a nursing home and evaluated activity estimation accuracy by leave-one-person-out cross-validation. As a result, our proposed system achieved the weighted average F-measure of 81.6%.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127908968","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}

引用次数: 8

Activity-Tracking Service For Building Operating Systems 用于构建操作系统的活动跟踪服务

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-02 DOI: 10.1109/PERCOMW.2018.8480362

Jakob Hviid, M. Kjærgaard

引用次数: 5

Real-Time Congestion Estimation in Sightseeing Spots with BLE Devices 基于BLE设备的景点实时拥塞估计

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-02 DOI: 10.1109/PERCOMW.2018.8480395

Kazuhito Umeki, Yugo Nakamura, Manato Fujimoto, Yutaka Arakawa, K. Yasumoto

{"title":"Real-Time Congestion Estimation in Sightseeing Spots with BLE Devices","authors":"Kazuhito Umeki, Yugo Nakamura, Manato Fujimoto, Yutaka Arakawa, K. Yasumoto","doi":"10.1109/PERCOMW.2018.8480395","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480395","url":null,"abstract":"Recently, there is a growing demand to know con- gestion information on sightseeing spots in real-time to provide a satisfactory tour plan to tourists. Many studies on a congestion estimation have been conducted so far. However, most of them suffer from high deployment/operation costs and/or rely on contributions by users with smartphones/sensors. In this paper, we propose a novel system that estimates congestion of sightseeing spots in real-time without attaching any device to tourists by observing the distribution of per-RSSI intensity occurrences in each time window when beacon signals are periodically sent between BLE (Bluetooth Low Energy) transceivers installed in sightseeing spots. In other words, our system can estimate the congestion degree in sightseeing spots simply by using the property of RSSI intensity which dramatically changes depending on the number of people. Therefore, the proposed system is simple and low cost and can estimate the congestion easily without any special devices attached to tourists. In the demonstration, we show the congestion degree in three levels (low, medium, and high) changing in real-time depending on the number of audience in the demonstration site.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124451618","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}

引用次数: 3

SAMD Apps: Install Once, Run Anywhere Instantly SAMD应用程序:安装一次，随时随地运行

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-02 DOI: 10.1109/PERCOMW.2018.8480287

Jaehun Lee, Hochul Lee, Byoungjun Seo, Min Kyung Chae, Young Choon Lee, Hyuck Han, Sooyong Kang

引用次数: 0

Designing Strategy for Resolving Maldistribution of Vehicles in One-Way Car-Sharing through Active Trip Request to Potential Users 通过对潜在用户的主动出行请求解决单向汽车共享中车辆分配不均衡的设计策略

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-02 DOI: 10.1109/PERCOMW.2018.8480256

Kotone Senju, Teruhiro Mizumoto, H. Suwa, Yutaka Arakawa, K. Yasumoto

{"title":"Designing Strategy for Resolving Maldistribution of Vehicles in One-Way Car-Sharing through Active Trip Request to Potential Users","authors":"Kotone Senju, Teruhiro Mizumoto, H. Suwa, Yutaka Arakawa, K. Yasumoto","doi":"10.1109/PERCOMW.2018.8480256","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480256","url":null,"abstract":"Recently, one-way car-sharing service that allows a user to drop the vehicle off at the destination has been started. However, it has not been as popular as expected mainly because it cannot assure the existence of an available vehicle at the start station or a vacant parking slot at the destination station. At this moment, the company staff are responsible for moving the vehicles to certain stations manually. Therefore, it is very costly. In order to reduce costs and make more efficient use of vehicles in one-way car-sharing service, we propose to involve a future potential user to move vehicles. We assume that there exist some requested one-way trips. Our method inserts a new trip among the existing trips for maximizing the number of successful trips. This trip is called “a system request trip.” We assume that the system request trip can be realized by changing a future schedule or asking future potential users who want to get some rewards. In this paper, we analyzed how each user uses vehicles in one-way car-sharing service by using the past data of demonstration experiment conducted by a car-sharing company in Tokyo, Japan. Based on the analysis result, we examined how to request each user.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116764106","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}

引用次数: 1

Inattention-Management Middleware for Human-in-the-Loop Multi-Display Applications 用于人在环多显示应用的注意力管理中间件

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-09-05 DOI: 10.1109/PERCOMW.2018.8480358

Max Nicosia, P. Kristensson

引用次数: 2

Computer Vision-Based Gait Velocity from Non-Obtrusive Thermal Vision Sensors 基于计算机视觉的非突发性热视觉传感器步态速度研究

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-23 DOI: 10.1109/PERCOMW.2018.8480174

J. M. Quero, Colin Shewell, I. Cleland, J. Rafferty, C. Nugent, M. Espinilla

{"title":"Computer Vision-Based Gait Velocity from Non-Obtrusive Thermal Vision Sensors","authors":"J. M. Quero, Colin Shewell, I. Cleland, J. Rafferty, C. Nugent, M. Espinilla","doi":"10.1109/PERCOMW.2018.8480174","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480174","url":null,"abstract":"Gait velocity is an important measure of independence and functional ability to those within the older population. Detecting changes in gait velocity can aid to provide interventions to avoid hospitalisation, currently gait velocity is assessed in a clinical setting, where the patient is timed over a measured distance between 3–6 metres by a clinician, however, this is time consuming, subjective, and not possible to carry out frequently over time. An unobtrusive method of monitoring gait velocity, frequently, over extended periods of time, would therefore be advantageous when developing interventions. This paper proposes an unobtrusive computer vision-based method of continuously monitoring an occupants gait velocity within their own home. This is achieved through the use of a low cost thermal vision sensor. The system was benchmarked against the clinical standard method of being timed by a stopwatch. Results show a high correlation between the gait velocity measured by the thermal vision sensor and the measured stopwatch velocity (R=0.941, p=0.02).","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127464331","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}

引用次数: 5

Collection of a Diverse, Realistic and Annotated Dataset for Wearable Activity Recognition 可穿戴活动识别的多样化，现实和注释数据集的集合

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-23 DOI: 10.1109/PERCOMW.2018.8480322

I. Cleland, M. Donnelly, C. Nugent, J. Hallberg, M. Espinilla, M. Garcia-Constantino

{"title":"Collection of a Diverse, Realistic and Annotated Dataset for Wearable Activity Recognition","authors":"I. Cleland, M. Donnelly, C. Nugent, J. Hallberg, M. Espinilla, M. Garcia-Constantino","doi":"10.1109/PERCOMW.2018.8480322","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480322","url":null,"abstract":"This paper discusses the opportunities and challenges associated with the collection of a large scale, diverse dataset for Activity Recognition. The dataset was collected by 141 undergraduate students, in a controlled environment. Students collected triaxial accelerometer data from a wearable accelerometer whilst each carrying out 3 of the 18 investigated activities, categorized into 6 scenarios of daily living. This data was subsequently labelled, anonymized and uploaded to a shared repository. This paper presents an analysis of data quality, through outlier detection and assesses the suitability of the dataset for the creation and validation of Activity Recognition models. This is achieved through the application of a range of common data driven machine learning approaches. Finally, the paper describes challenges identified during the data collection process and discusses how these could be addressed. Issues surrounding data quality, in particular, identifying and addressing poor calibration of the data were identified. Results highlight the potential of harnessing these diverse data for Activity Recognition. Based on a comparison of six classification approaches, a Random Forest provided the best classification (F-measure: 0.88). In future data collection cycles, participants will be encouraged to collect a set of “common” activities, to support generation of a larger homogeneous dataset. Future work will seek to refine the methodology further and to evaluate model on new unseen data.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121512915","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}

引用次数: 17

Activities of Daily Living Ontology for Ubiquitous Systems 泛在系统的日常生活本体活动

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-23 DOI: 10.1109/PERCOMW.2018.8480385

E. Tonkin, Przemyslaw Woznowski

引用次数: 5