PerCom Workshops最新文献

Keynote: Speech and Audio Capabilities in Our Everyday Lives - Can it be Trusted? 主题演讲:语音和音频功能在我们的日常生活-它可以信任吗?

PerCom Workshops Pub Date : 2023-03-13 DOI: 10.1109/PerComWorkshops56833.2023.10150332

Jennifer Williams

引用次数: 0

Keynote: Data Scarcity in Sensor-Based Human Activity Recognition 主题演讲:基于传感器的人类活动识别中的数据稀缺性

PerCom Workshops Pub Date : 2023-03-13 DOI: 10.1109/PerComWorkshops56833.2023.10150363

Gabriele Civitarese

引用次数: 0

Panel: Evolving IoT Tech Enables Aging in Place 专题讨论:不断发展的物联网技术使老化成为可能

PerCom Workshops Pub Date : 2020-03-01 DOI: 10.1109/percomworkshops48775.2020.9156263

M. A. U. Alam, N. Alshurafa, A. Salman, Abhishek Mukherji, Hironobu Takagi

引用次数: 0

Context-aware multi-inhabitant functional and physiological health assessment in smart home environment 智能家居环境中情境感知的多居民功能和生理健康评估

PerCom Workshops Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917536

M. A. U. Alam

{"title":"Context-aware multi-inhabitant functional and physiological health assessment in smart home environment","authors":"M. A. U. Alam","doi":"10.1109/PERCOMW.2017.7917536","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917536","url":null,"abstract":"Recognizing the human activity, behavior and physiological symptoms in smart home environments is of utmost importance for the functional, physiological and cognitive health assessment of the older adults. Unprecedented data from everyday devices such as smart wristbands, smart ornaments, smartphones, and ambient sensors provide opportunities for activity mining and inference, but pose fundamental research challenges in data processing, physiological feature extraction, activity learning and inference in the presence of multiple inhabitants. In this thesis, we develop micro-activity driven macro-activity recognition approaches while considering the underpinning spatiotemporal constraints and correlations across multiple inhabitants. We design novel signal processing and machine learning algorithms to detect physiological symptoms and infer macro-level activity of the inhabitants, respectively. We combine these activity recognition methodologies along with the physiological health assessment approaches to quantify the functional, behavioral, and cognitive health of the older adults. real-time data collected data from a continuing care retirement community center (IRB #HP-00064387) helped us to evaluate, compare, and benchmark our proposed computational approaches with the clinical tools used extensively for functional and cognitive health assessment.","PeriodicalId":448199,"journal":{"name":"PerCom Workshops","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129914963","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

Keynote: Wearable and IoT for cognitive health assessment: Significance and challenges 主题演讲:认知健康评估的可穿戴和物联网:意义和挑战

PerCom Workshops Pub Date : 2017-03-01 DOI: 10.1109/PERCOMW.2017.7917641

Nirmalya Roy

{"title":"Keynote: Wearable and IoT for cognitive health assessment: Significance and challenges","authors":"Nirmalya Roy","doi":"10.1109/PERCOMW.2017.7917641","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917641","url":null,"abstract":"The U.S. Census Bureau reports that the U.S. population of people aged 65 and up will grow more than double in between 2010 and 2050. The market for remote patient monitoring is expected to grow from $10.6 billion in 2012 to $21.2 billion in 2017. This growing societal and economical needs revitalize the work on technology-assisted proactive and preventive health monitoring in smart home environments. In recent time the proliferation of commodity smart healthcare appliances and stand-alone and integrated sensing devices (Internet of Things) make it increasingly easier to ubiquitously and continuously monitor an individuals health-related vital signals, activities, and behaviors to provide just-in-time interventions for the aging population. Nevertheless, developing reliable and clinically equivalent point-of-care technologies to perform automated health assessment and intervention remain challenging. In this talk, I will discuss how signal processing and machine learning techniques help analyze the activity and physiological signals to gauge the cognitive and behavioral health of older adults. I will also discuss the comparative performance of technology-guided algorithmic methodology with clinically-driven survey, observation, and performance-based measurements. I will conclude the talk highlighting our experiences of deploying this smart home health service systems for Alzheimer's patients living in retirement community centers.","PeriodicalId":448199,"journal":{"name":"PerCom Workshops","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133385856","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: 2

User responses to social robots - experimental insights and psychophysiological measures 用户对社交机器人的反应——实验见解和心理生理测量

PerCom Workshops Pub Date : 2017-03-01 DOI: 10.1109/PERCOMW.2017.7917582

R. Stock

{"title":"User responses to social robots - experimental insights and psychophysiological measures","authors":"R. Stock","doi":"10.1109/PERCOMW.2017.7917582","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917582","url":null,"abstract":"Companies in China, Japan and USA started introducing social robots at the customer interface in various industries, such as hospitality services, retailing, and health care services. In contrast to production robots, social robots are humanoid and communicate with speech and gestures with the primary purpose to interact with humans. While the prevalence of social robots is increasing, knowledge about the user acceptance of these robots is scarce. Based on an experimental series, potential stressors as well as emotional and behavioral user responses to the interaction with a social robot are examined. The experimental setting was a hotel reception, in which participants had to interact with the social robot (i.e., the humanoid robot Pepper) in the role of a hotel guest. Participants' psychological responses to the social robot were assessed via self-assessments of the participants. Beyond these standard measures, external raters evaluated the participants' responses by evaluating their facial expressions and gestures on the basis of the video recordings of the experimental procedure. Furthermore, a non-intrusive wearable device, Empatica E4, was used to measure physiological data, in particular heart rate (HR), heart rate variability (HRV) and electrodermal activity (EDA). Results show that participants were able to clearly recognize robotic emotions and behaviors. Furthermore, we could reveal similar patterns within a human-robot-interaction as compared to human-human-interactions.","PeriodicalId":448199,"journal":{"name":"PerCom Workshops","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123642870","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

Pushing down user information to enhance smart device system design 下推用户信息，增强智能设备系统设计

PerCom Workshops Pub Date : 2017-03-01 DOI: 10.1109/PERCOMW.2017.7917602

Gang Zhou

引用次数: 0

A changing landscape: Securing the Internet of Things (IoT): Keynote talk 不断变化的环境:保护物联网(IoT):主题演讲

PerCom Workshops Pub Date : 2016-03-14 DOI: 10.1109/PERCOMW.2016.7457124

S. Jha

{"title":"A changing landscape: Securing the Internet of Things (IoT): Keynote talk","authors":"S. Jha","doi":"10.1109/PERCOMW.2016.7457124","DOIUrl":"https://doi.org/10.1109/PERCOMW.2016.7457124","url":null,"abstract":"First part of this talk will discuss how the community is converging towards the IoT vision having worked in wireless sensor networking and Machine-2-Machine (M2M) communication. This will follow a general discussion of security challenges in IoT. Finally I will discuss some results from an ongoing project on security of bodyworn devices. Wireless bodyworn sensing devices are becoming popular for fitness, sports training and personalized healthcare applications. Securing the data generated by these devices is essential if they are to be integrated into the current health infrastructure and employed in medical applications. In this talk, I will discuss a mechanism to secure data provenance for these devices by exploiting symmetric spatio-temporal characteristics of the wireless link between two communicating parties. Our solution enables both parties to generate closely matching ‘link’ fingerprints, which uniquely associate a data session with a wireless link such that a third party, at a later date, can verify the links the data was communicated on. These fingerprints are very hard for an eavesdropper to forge, lightweight compared to traditional provenance mechanisms, and allow for interesting security properties such as accountability and non-repudiation. I will present our solution with experiments using bodyworn devices in scenarios approximating actual device deployment.","PeriodicalId":448199,"journal":{"name":"PerCom Workshops","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128235575","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

PerCom PhD forum 2016: Eightieth annual PhD forum on pervasive computing and communications, 2016 - Welcome and committees: Welcome message from the PhD forum chairs PerCom博士论坛2016:第80届普适计算与通信博士论坛，2016 -欢迎和委员会:来自博士论坛主席的欢迎信息

PerCom Workshops Pub Date : 2016-03-14 DOI: 10.1109/PERCOMW.2016.7457023

Qi Han, S. Loke

引用次数: 0

On the impact of activity recognition in monitoring cognitive decline 活动识别在监测认知能力下降中的作用

PerCom Workshops Pub Date : 2016-03-14 DOI: 10.1109/PERCOMW.2016.7457107

C. Bettini

{"title":"On the impact of activity recognition in monitoring cognitive decline","authors":"C. Bettini","doi":"10.1109/PERCOMW.2016.7457107","DOIUrl":"https://doi.org/10.1109/PERCOMW.2016.7457107","url":null,"abstract":"The world senior population is projected to douDle as a percentage over the whole population in the next decades. In order to preserve or improve the quality of life of this population, as well as to keep healthcare costs sustainable, it is important to better support their ability of independent living. Cognitive decline is a major threat to independent living; it may be experienced in normal aging but it may also lead to mild cognitive impairment (MCI) and more serious neurodegenerative cognitive disorders. Early detection of cognitive decline, accurate diagnosis and monitoring of its evolution for early intervention are a priority. Researchers have found that subtle differences in performing instrumental activities of daily living (IADLs) as well as the recognition of subtle errors while performing IADLs may be useful for MCI diagnosis as well as to differentiate different forms of cognitive disorders. However, occasionally performing ability tests in equipped rooms on medical premises has several shortcomings including cost and reliability of results. Pervasive computing coupled with intelligent data analysis can have a major role in this application domain by continuous monitoring of activities at home during daily life. This idea has been at the core of several recent research projects. The main challenges that we are facing are: a) reliability, unobtrusiveness and affordability of the sensor infrastructure, b) precision and robustness of techniques for IADL recognition, c) effectiveness of algorithms for recognizing fine-grained abnormal behaviors identified by clinicians as relevant indicators, d) identification of relevant patterns through long-term data analysis, e) privacy-awareness of data acquisition and management, f) effectiveness of visualization and interaction tools for clinicians. This talk will discuss the above challenges, report the experience on using hybrid statistical and knowledge-based techniques for addressing the recognition tasks, and identify critical aspects still to be investigated.","PeriodicalId":448199,"journal":{"name":"PerCom Workshops","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130361262","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