UID:
almahu_9947363850802882
Umfang:
XXI, 386 p. 130 illus.
,
online resource.
ISBN:
9783319193120
Serie:
Lecture Notes in Computer Science, 9102
Inhalt:
This book constitutes the proceedings of the 13th International Conference on Smart Homes and Health Telematics, ICOST 2015, held in Geneva, Switzerland, in June 2015. The 20 full papers and 16 short contributions included in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections named: design and usability; assistive and sentient environments; human behavior and activities monitoring, and health IT and supportive technology. The book also contains 3 invited talks.
Anmerkung:
Design and Usability -- Technical Challenges Towards an AAL Large Scale Deployment -- Design Considerations for Adaptive Lighting to Improve Seniors’ Mood -- Perspectives on Collaboration in Technology Innovation for Ageing -- User Interaction Concepts in Smart Caring Homes for Elderly with Chronic Conditions -- Assistive and Sentient Environments -- Using Sensory Substitution of Median Sensory Deficits in the Traumatized Hand to Develop an Innovative Home-Based Hand Rehabilitation System -- QueFaire: Context-Aware in-Person Social Activity Recommendation System for Active Aging -- Human Behavior and Activities Monitoring -- Recommendations for the Creation of Datasets in Support of Data Driven Activity Recognition Models -- Activity Playback Modeling for Smart Home Simulation -- Activity Recognition in Assisted Living Facilities with Incremental, Approximate Ground Truth -- From User Requirements to Data: An XML Standard for Structuring Events in Monitored Environments -- Using Big Data for Emotionally Intelligent Mobile Services Through Multi-Modal Emotion Recognition -- Assistive and Sentient Environments Smartphone-Based System for Sensorimotor Control Assessment, Monitoring, Improving and Training at Home -- ‘‘Get that Camera Out of My House!’’ Conjoint Measurement of Preferences for Video-Based Healthcare Monitoring Systems in Private and Public Places -- Privacy-Preserving Energy-Reading for Smart Meter -- Human Behavior and Activities Monitoring -- Anti-fall: A Non-intrusive and Real-Time Fall Detector Leveraging CSI from Commodity WiFi Devices -- Smart Fall: Accelerometer-Based Fall Detection in a Smart Home Environment -- Dead Reckoning with Smartphone Sensors for Emergency Rooms -- Health IT and Supportive Technology -- A Kinematic Based Evaluation of Upper Extremity Movement Smoothness for Tele-Rehabilitation -- Home-Based Self-Management of Dementia: Closing the Loop -- Patient Centric Ontology for Telehealth Domain -- Durable Plug and Play Device for Bed Tele-Monitoring -- Serious Games and Personalization of the Therapeutic Education -- Australian Community Care Experience on the Design, Development, Deployment and Evaluation of Implementing the Smarter Safer Homes Platform -- Measurement and Assessment of Hand Functionality via a Cloud-Based Implementation -- Influencing Factors in the Design of Smart Homes for Persons with Disabilities -- Multimodal Recognition of Emotions Using Physiological Signals with the Method of Decision-Level Fusion for Healthcare Applications -- Feature Sub-set Selection for Activity Recognition -- Reducing the Response Time for Activity Recognition Through use of Prototype Generation Algorithms -- Multi–occupant Movement Tracking in Smart Home Environments -- Improving User Engagement by Aggregating and Analysing Health & Fitness Data on a Mobile App -- Ambulatory Energy Expenditure Evaluation for Treadmill Exercises -- Facilitating Delivery and Remote Monitoring of Behaviour Change Interventions to Reduce Risk of Developing Alzheimer’s Disease: The Gray Matters Study -- Preco Framework: A Predictive Approach for Comorbidities Risk Assessment -- SNS Based Predictive Model for Depression -- An Interactive Case-Based Flip Learning Tool for Medical Education -- Interactive Fridge: A Solution for Preventing Domestic Food Waste -- MonDossierMedical.ch: An Efficient Tool for Sharing Medical Data Between Patients and Doctors -- SmartHealth and Internet of Things -- Genome Mining Using Machine Learning Techniques.
In:
Springer eBooks
Weitere Ausg.:
Printed edition: ISBN 9783319193113
Sprache:
Englisch
Schlagwort(e):
Konferenzschrift
;
Konferenzschrift
DOI:
10.1007/978-3-319-19312-0
URL:
http://dx.doi.org/10.1007/978-3-319-19312-0
URL:
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