E-Book, Englisch, Band 835, 337 Seiten, eBook
Bravo / Urzáiz Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023)
1. Auflage 2023
ISBN: 978-3-031-48306-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Volume 1
E-Book, Englisch, Band 835, 337 Seiten, eBook
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-031-48306-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
A Computational Model for Agents in a Social Context: An Approach based on Theory of Mind.- A Reinforcement Learning Algorithm for Improving the Generation of Rehabilitation Activities of ABI Patients.- Monitoring environments with new generation devices.- Using reference points for detection of calcifications in mammograms for medical active systems.- Age-Inclusive Design of Video Streaming Services: Integrating Insights and Design Implications.- Review on Internet of Things for Innovation in Nursing Process- A PubMed-based search.- Detection of sets and repetitions in strength exercises using IMU-based wristband wearables.- Enhancing Unobtrusive Home Technology Systems with a Virtual Assistant for Mood and Social Monitoring.- New trends in machine learning techniques for human activity recognition using multimodal sensors.- Exploring the Potential of an AI-Integrated, Cloud-Based mHealth Platform for Enhanced Type 2 Diabetes MellitusManagement.- Towards a Digital and Ubiquitous Ecosystem of Mobile Technology-based Solutions to Facilitate Data Management Based on Sustainable Development Goals.- Towards abnormal behaviour detection on elderly people at home through smart plugs and its relationship with Activities of Daily Living.- A framework to manage experimental evaluation of ambient assisted living systems.- Towards A Virtual Reality Visualization of Object Manipulations Skills to Support Remote Physical Therapy.- Creating personalized verbal human-robot interactions using LLM with the robot Mini




