An unobtrusive sleep monitoring system for the human sleep behaviour understanding
| العنوان: | An unobtrusive sleep monitoring system for the human sleep behaviour understanding |
|---|---|
| المؤلفون: | Davide La Rosa, Monica Bianchini, Filippo Palumbo, Franco Scarselli, Paolo Barsocchi, Antonino Crivello |
| المصدر: | 7th IEEE International Conference on Cognitive Infocommunications, pp. 91–96, Wroclaw, Poland, 16-18 October 2016 info:cnr-pdr/source/autori:Barsocchi P.; Bianchini M.; Crivello A.; La Rosa D.; Palumbo F.; Scarselli F./congresso_nome:7th IEEE International Conference on Cognitive Infocommunications/congresso_luogo:Wroclaw, Poland/congresso_data:16-18 October 2016/anno:2016/pagina_da:91/pagina_a:96/intervallo_pagine:91–96 |
| بيانات النشر: | IEEE, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Sleep behaviour recognition, Computer Networks and Communications, Computer science, Cognitive Neuroscience, media_common.quotation_subject, Sleeping positions classification, 02 engineering and technology, Pattern Recognition, Sleep monitoring, Artificial Intelligence, Quality of life (healthcare), Human–computer interaction, 0202 electrical engineering, electronic engineering, information engineering, Quality (business), Wearable technology, Simulation, media_common, Sleep Stages, business.industry, 020206 networking & telecommunications, Actigraphy, Sleep behaviour, 020201 artificial intelligence & image processing, Sleep (system call), business |
| الوصف: | Sleep plays a vital role in good health and well-being throughout our life. Getting enough quality sleep at the right times can help protect mental and physical health, quality of life, and safety. Emerging wearable devices allow people to measure and keep track of sleep duration, patterns, and quality. Often, these approaches are intrusive and change the user's daily sleep habits. In this paper, we present an unobtrusive approach for the detection of sleep stages and positions. The proposed system is able to overcome the weakness of classic actigraphy-based systems, since it is easy to deploy and it is based on inexpensive technology. With respect to the actigraphy-based systems, the proposed system is able to detect the bed posture, that is crucial to support pressure ulcer prevention (i.e. bedsores). Results from our algorithm look promising and show that we can accurately infer sleep duration, sleep positions, and routines with a completely unobtrusive approach. |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8db37faeb3bb6c4f2294ad19fbf90f2Test https://doi.org/10.1109/coginfocom.2016.7804531Test |
| حقوق: | RESTRICTED |
| رقم الانضمام: | edsair.doi.dedup.....f8db37faeb3bb6c4f2294ad19fbf90f2 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |