Computer Vision for Ambient Assisted Living: Monitoring Systems for Personalized Healthcare and Wellness That Are Robust in the Real World and Accepted by Users, Carers, and Society
| Autor: | Colantonio S., Coppini G., Giorgi D., Morales M. A., Pascali M. A. |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | Computer Vision for assistive Healthcare, edited by Marco Leo, Giovanni M. Farinella, pp. 147–182, 2018 info:cnr-pdr/source/autori:Colantonio S.; Coppini G.; Giorgi D.; Morales M.A.; Pascali M.A./titolo:Computer Vision for Ambient Assisted Living: Monitoring Systems for Personalized Healthcare and Wellness That Are Robust in the Real World and Accepted by Users, Carers, and Society/titolo_volume:Computer Vision for assistive Healthcare/curatori_volume:Marco Leo, Giovanni M. Farinella/editore:/anno:2018 |
| DOI: | 10.1016/B978-0-12-813445-0.00006-X |
| Popis: | The Ambient Assisted Living (AAL) paradigm proposes advanced technologies and services to improve the quality of life, health, and wellbeing of citizens by making their daily-life activities easier and more secure, by monitoring patients under specific treatment, and by addressing at-risk subjects with proper counseling. The challenges brought by AAL range from robust, accurate, and nonintrusive data acquisition in dailylife settings to the development of services that are easy to use and appealing to the users and that support long-term engagement. This chapter offers a brief survey of existing vision-based monitoring solutions for personalized healthcare and wellness, and introduces the Wize Mirror, a multisensory platform featuring advanced algorithms fo cardiometabolic risk prevention and quality-of-life improvement. |
| Databáze: | OpenAIRE |
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