Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing最新文献_第9页

AudioGest: enabling fine-grained hand gesture detection by decoding echo signal AudioGest:通过解码回波信号实现细粒度手势检测

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971736

Wenjie Ruan, Quan Z. Sheng, Lei Yang, Tao Gu, Peipei Xu, Longfei Shangguan

{"title":"AudioGest: enabling fine-grained hand gesture detection by decoding echo signal","authors":"Wenjie Ruan, Quan Z. Sheng, Lei Yang, Tao Gu, Peipei Xu, Longfei Shangguan","doi":"10.1145/2971648.2971736","DOIUrl":"https://doi.org/10.1145/2971648.2971736","url":null,"abstract":"Hand gesture is becoming an increasingly popular means of interacting with consumer electronic devices, such as mobile phones, tablets and laptops. In this paper, we present AudioGest, a device-free gesture recognition system that can accurately sense the hand in-air movement around user's devices. Compared to the state-of-the-art, AudioGest is superior in using only one pair of built-in speaker and microphone, without any extra hardware or infrastructure support and with no training, to achieve fine-grained hand detection. Our system is able to accurately recognize various hand gestures, estimate the hand in-air time, as well as average moving speed and waving range. We achieve this by transforming the device into an active sonar system that transmits inaudible audio signal and decodes the echoes of hand at its microphone. We address various challenges including cleaning the noisy reflected sound signal, interpreting the echo spectrogram into hand gestures, decoding the Doppler frequency shifts into the hand waving speed and range, as well as being robust to the environmental motion and signal drifting. We implement the proof-of-concept prototype in three different electronic devices and extensively evaluate the system in four real-world scenarios using 3,900 hand gestures that collected by five users for more than two weeks. Our results show that AudioGest can detect six hand gestures with an accuracy up to 96%, and by distinguishing the gesture attributions, it can provide up to 162 control commands for various applications.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"47 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134608983","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: 117

Collective use of a fabric-based interactive surface to support early development in toddler classrooms 集体使用基于织物的互动表面来支持幼儿教室的早期发展

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971695

Franceli Linney Cibrian, Nadir Weibel, M. Tentori

引用次数: 13

LumiO: a plaque-aware toothbrush LumiO:牙菌斑识别牙刷

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971704

T. Yoshitani, Masa Ogata, K. Yatani

{"title":"LumiO: a plaque-aware toothbrush","authors":"T. Yoshitani, Masa Ogata, K. Yatani","doi":"10.1145/2971648.2971704","DOIUrl":"https://doi.org/10.1145/2971648.2971704","url":null,"abstract":"Toothbrushing plays an important role in daily dental plaque removal for preventive dentistry. Prior work has investigated improvements on toothbrushing with sensing technologies. But existing toothbrushing support focuses mostly on estimating brushing coverage. Users thus only have indirect information about how well their toothbrushing removes dental plaque. We present LumiO, a toothbrush that offers users continuous feedback on the amount of plaque on teeth. Lumio uses a well-known method for plaque detection, called Quantitative Light-induced Fluorescence (QLF). QLF exploits a red fluorescence property that bacterium in the plaque demonstrates when a blue-violet ray is cast. Blue-violet light excites this fluorescence property, and a camera with an optical filter can capture plaque in pink. We incorporate this technology into an electric toothbrush to achieve improvements in performance on plaque removal in daily dental care. This paper first discusses related work in sensing for oral activities and interaction as well as dental care with technologies. We then describe the principles of QLF, the hardware design of LumiO, and our vision-based plaque detection method. Our evaluations show that the vision-based plaque detection method with three machine learning techniques can achieve F-measures of 0.68 -- 0.92 under user-dependent training. Qualitative evidence also suggests that study participants were able to have improved awareness of plaque and build confidence on their toothbrushing.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125604789","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: 12

iKneeBraces: knee adduction moment evaluation measured by motion sensors in gait detection ikneebrace:步态检测中运动传感器测量的膝关节内收力矩评估

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971675

Hsin-Ruey Tsai, Shih-Yao Wei, Jui-Chun Hsiao, Ting-Wei Chiu, Yi-Ping Lo, Chi-Feng Keng, Y. Hung, Jin-Jong Chen

引用次数: 10

"It's like living with a friendly stranger": perceptions of personality traits in a smart home “这就像和一个友好的陌生人住在一起”:对智能家居个性特征的看法

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971757

Sarah Mennicken, Oliver Zihler, Frida Juldaschewa, Veronika Molnar, David Aggeler, E. Huang

{"title":"\"It's like living with a friendly stranger\": perceptions of personality traits in a smart home","authors":"Sarah Mennicken, Oliver Zihler, Frida Juldaschewa, Veronika Molnar, David Aggeler, E. Huang","doi":"10.1145/2971648.2971757","DOIUrl":"https://doi.org/10.1145/2971648.2971757","url":null,"abstract":"Interacting with smart homes and Internet of Things devices is still far from being a seamless experience as there are often many different interfaces involved. Due to the improvements of speech recognition and synthesis, voice-based agents are becoming more common to give users a unified interface to different individual systems. These agents often exhibit human-like personality traits, such as responding in a humorous way or showing caring behavior in reminders. We are exploring this approach in the context of smart homes and home automation. Should a smart home have a proactive or passive personality? Should it try to socialize with inhabitants? What personality traits do people consider desirable or undesirable? To learn more about this design space, we created two variants of a usage scenario of a domestic routine in a smart home to demonstrate different personality trait combinations. Forty-one participants experienced the scenario and provided feedback about the designs. In this paper, we report findings about participants' preferences, how they responded to the proactive and social behavior our prototype demonstrated and implications for the design of agent-based interfaces in the home.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122447608","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: 42

Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users 从无处不在的语言中学习:智能手机用户表情符号使用的实证分析

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971724

Xuan Lu, W. Ai, Xuanzhe Liu, Qian Li, Ning Wang, Gang Huang, Q. Mei

引用次数: 172

Enabling on-body transmissions with commodity devices 使车身传输与商品设备

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971682

Mehrdad Hessar, Vikram Iyer, Shyamnath Gollakota

引用次数: 33

GreenTouch: transparent energy management for cellular data radios 绿色触摸:透明的能量管理的蜂窝数据无线电

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971660

Shravan Aras, C. Gniady

{"title":"GreenTouch: transparent energy management for cellular data radios","authors":"Shravan Aras, C. Gniady","doi":"10.1145/2971648.2971660","DOIUrl":"https://doi.org/10.1145/2971648.2971660","url":null,"abstract":"Smartphones come equipped with multiple radios for cellular data communication such as 4G LTE, 3G, and 2G, that offer different bandwidths and power profiles. 4G LTE offers the highest bandwidth and is desired by users as it offers quick response while browsing the Internet, streaming media, or utilizing numerous network aware applications available to users. However, majority of the time this high bandwidth level is unnecessary, and the bandwidth demand can be easily met by 3G radios at a reduced power level. While 2G radios demand even lower power, they do not offer adequate bandwidth to meet the demand of interactive applications; however, the 2G radio may be utilized to provide connectivity when the phone is in the standby mode. To address different demands for bandwidth, we propose GreenTouch, a system that dynamically adapts to the bandwidth demand and system state by switching between 4G LTE, 3G, and 2G with the goal of minimizing delays and maximizing energy efficiency. GreenTouch associates users' behavior to network activity through capturing and correlating user interactions with the touch display. We have used top applications on the Google play store to show the potential of GreenTouch to reduce energy consumption of the radios by 10%, on average, compared to running the applications in the standard Android. This translates to an overall energy savings of 7.5% for the entire smartphone.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126351201","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: 4

Selecting home appliances with smart glass based on contextual information 根据上下文信息选择带有智能玻璃的家电

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971651

Quan Kong, T. Maekawa, Taiki Miyanishi, Takayuki Suyama

引用次数: 17

Wearable sensor based multimodal human activity recognition exploiting the diversity of classifier ensemble 基于可穿戴传感器的多模态人体活动识别，利用分类器集合的多样性

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971708

Haodong Guo, Ling Chen, Liangying Peng, Gencai Chen

引用次数: 69