2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)最新文献_第3页

Demo abstract: Demonstration of the FABER system for fine-grained recognition of abnormal behaviors 演示摘要:展示了FABER系统对异常行为的细粒度识别

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134021

Gabriele Civitarese, Z. H. Janjua, Daniele Riboni, C. Bettini

{"title":"Demo abstract: Demonstration of the FABER system for fine-grained recognition of abnormal behaviors","authors":"Gabriele Civitarese, Z. H. Janjua, Daniele Riboni, C. Bettini","doi":"10.1109/PERCOMW.2015.7134021","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134021","url":null,"abstract":"The life expectancy is rapidly growing in many countries. According to the United Nations, the percentage of elderly population will rise from 5% in 2013 to 11% in 2050. The increasing aging of the population implies an increase of age-related diseases, and an increase in terms of health-care costs. The innovations introduced by pervasive computing, and in particular by sensor-based activity monitoring methods, can be exploited to early detect the onset of health issues. For this reason, we devised a novel method to recognize anomalies that a senior performs during the execution of activities of daily living, based on data acquired from unobtrusive sensors deployed at home. The objective is to support the clinicians in the early diagnosis of neurodegenerative diseases, providing them with fine-grained information about abnormal behaviors. In this paper, we present a demonstration of the method, based on a graphical tool that simulates the execution of activities and abnormal behaviors of an elderly person in a sensor-rich smart home.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"21 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":"126582472","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: 0

Smart home simulation using avatar control and probabilistic sampling 基于虚拟角色控制和概率抽样的智能家居仿真

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134059

J. Lundström, J. Synnott, E. Järpe, C. Nugent

引用次数: 16

A method for recognizing living activities in homes using positioning sensor and power meters 一种使用定位传感器和电表识别家庭生活活动的方法

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134062

Kenki Ueda, M. Tamai, K. Yasumoto

{"title":"A method for recognizing living activities in homes using positioning sensor and power meters","authors":"Kenki Ueda, M. Tamai, K. Yasumoto","doi":"10.1109/PERCOMW.2015.7134062","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134062","url":null,"abstract":"To realize smart homes with sophisticated services including energy-saving context-aware appliance control in homes and elderly monitoring systems, automatic recognition of human activities in homes is essential. Several daily activity recognition methods have been proposed so far, but most of them still have issues to be solved such as high deployment cost due to many sensors and/or violation of users' feeling of privacy due to use of cameras. Moreover, many activity recognition methods using wearable sensors have been proposed, but they focus on simple human activities like walking, running, etc. and it is difficult to use these methods for recognition of various complex activities in homes. In this paper, we propose a machine learning based method for recognizing various daily activities in homes using only positioning sensors equipped by inhabitants and power meters attached to appliances. To efficiently collect training data for constructing a recognition model, we have developed a tool which visualizes a time series of sensor data and facilitates a user to put labels (activity types) to a specified time interval of the sensor data. We obtain training samples by dividing the extracted training data by a fixed time window and calculating for each sample position and power consumptions averaged over a time window as feature values. Then, the obtained samples are used to construct an activity recognition model by machine learning. Targeting six different activities (watching TV, taking a meal, cooking, reading a book, washing dishes, and other), we applied our proposed method to the sensor data collected in a smart home testbed. As a result, our method recognized 6 different activities with precision of about 85% and recall of about 82%.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"75 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":"122434472","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: 35

Gesture control by wrist surface electromyography 手腕表面肌电图的手势控制

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134098

Abhishek Nagar, Xu Zhu

引用次数: 5

Bringing context awareness to IoT-based wireless sensor networks 为基于物联网的无线传感器网络带来上下文感知

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134031

S. Gaur

引用次数: 8

RTOB: A TDMA-based MAC protocol to achieve high reliability of one-hop broadcast in VANET RTOB:一种基于tdma的MAC协议，用于实现VANET中一跳广播的高可靠性

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7133999

F. Han, Daisuke Miyamoto, Y. Wakahara

{"title":"RTOB: A TDMA-based MAC protocol to achieve high reliability of one-hop broadcast in VANET","authors":"F. Han, Daisuke Miyamoto, Y. Wakahara","doi":"10.1109/PERCOMW.2015.7133999","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7133999","url":null,"abstract":"Vehicular Ad Hoc Network (VANET) is considered promising for ubiquitous communication on roadways and one-hop broadcast plays a leading basic role in VANET. Thus, there is a strong need of high reliability related to packet transmission and reception especially when VANET is used for life-safety applications. Though IEEE 802.11p has been defined as an international standard for VANET, IEEE 802.11p has in practice some limitations in terms of reliability. Therefore, a new MAC protocol named Mobile Slotted Aloha (MS-Aloha) has been proposed and developed by ISMB in Italy to achieve higher reliability and MS-Aloha has become recommended by ETSI after evaluation. However, because of inefficient use of radio channels, the reliability of MS-Aloha is still not satisfying especially under very congested traffic conditions in urban area. In this paper, we propose a new MAC protocol named Reliable TDMA-based One-hop Broadcast (RTOB). RTOB is based on MS-Aloha, inheriting all its advantages, and RTOB can achieve much higher reliability by making efficient use of radio channels. We also propose a novel metric named Cover Ratio (CR) which is more appropriate than the conventional Packet Delivery Ratio (PDR) to evaluate reliability from the viewpoint of life-safety applications. This paper describes in detail the main principles and the techniques of RTOB and demonstrates quantitatively its sufficiently high reliability in terms of both CR and PDR by clarifying efficient use of radio channels even under very congested traffic conditions.","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":"134554375","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: 15

A novel estimation method of road condition for pedestrian navigation 一种新的行人导航路况估计方法

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134076

Takumi Satoh, Akihito Hiromori, H. Yamaguchi, T. Higashino

引用次数: 6

Using temporal correlation and time series to detect missing activity-driven sensor events 使用时间相关性和时间序列来检测缺失的活动驱动传感器事件

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7133991

Juan Ye, Graeme Stevenson, S. Dobson

引用次数: 5

AgriAcT: Agricultural Activity Training using multimedia and wearable sensing AgriAcT:使用多媒体和可穿戴传感技术的农业活动培训

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134078

Somya Sharma, B. Jagyasi, Jabal Raval, Prashant A. Patil

{"title":"AgriAcT: Agricultural Activity Training using multimedia and wearable sensing","authors":"Somya Sharma, B. Jagyasi, Jabal Raval, Prashant A. Patil","doi":"10.1109/PERCOMW.2015.7134078","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134078","url":null,"abstract":"There has been immense work in past on the human activities detection and context recognition using the wearable sensing technologies. However, a more challenging problem of providing training on the activities to the users with the help of wearable sensors has not been adequately attempted. Specially, in the agriculture applications, an appropriate training to the farmers on performing the agricultural activities would result in the sustainable agriculture practices for achieving higher and better quality yield. In this paper, a novel first-of-a-kind, multimedia and wearable sensors based Agricultural Activity Training (AgriAcT) system has been proposed for the dissemination of agricultural technologies to the remotely located farmers. In the proposed system, a training video of an expert farmer performing an activity is captured along with the gesture data obtained from the wearable motion sensors from the expert's body while the activity is being performed. A trainee farmer, can learn a selected activity by watching the multimedia content of the expert performing that activity on the mobile phone and subsequently perform the activity by wearing the required motion sensors. We present a novel K-Nearest Neighbor based Agriculture Activity Performance Score (KAAPS) engine to generate an Activity performance score (AcT-Score) which suggest how efficiently the activity had been performed by the trainee as compared to the expert's performance. The exhaustive experimental results by collecting data from eight experts and ten trainees for two different activities are used to present the inferences on the impact made by the Act-Score on the performance of the trainee farmers.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"233 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":"114992254","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: 9

Towards a smarter system for Human Sensor Web 迈向更智能的人体传感器网络系统

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7133986

H. Tsega, R. Lemmens, M. Kraak, J. Lungo

{"title":"Towards a smarter system for Human Sensor Web","authors":"H. Tsega, R. Lemmens, M. Kraak, J. Lungo","doi":"10.1109/PERCOMW.2015.7133986","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7133986","url":null,"abstract":"Human sensing is a notion of crowd-sourcing whereby ICT devices are utilized for data collection. Human Sensor Web (HSW) is a network of people who interact with their devices in order to forward their observations to a designated receiving server in the form of messages (such as SMS and USSD). It capitalizes on the accessibility of ICT tools (such as mobile phones) by non-experts to use them as sensory nodes in order to generate useful data regarding various location-oriented phenomena - such as the status of public service facilities. We presumed and tested that with the controlled use of its context, the smartness of the HSW can be boosted. The smart system uses context to make intelligent analysis such as credibility assessment of user-generated data and context-aware retrieval of geo-information, which would have been impossible otherwise. In this paper, we proposed and tested a software architecture to achieve this goal. We deployed the design solution on a mobile reporting system for functionality of water points in rural Tanzania under the SEMA project. The context-enabled smart system has been developed based on latest semantic technologies and linked data principles.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"284 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":"116098039","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