Download Active and Assisted Living. Technologies and Applications by Francisco Florez-Revuelta, Alexandros Andre Chaaraoui PDF

By Francisco Florez-Revuelta, Alexandros Andre Chaaraoui

This can be a extensive introductory instruction manual, for tutorial and researchers, overlaying the key applied sciences and functions in Ambient Assisted residing (AAL). Set out in 3 major sections: half 1 specializes in present cutting-edge know-how and demanding research: half 2 covers the purposes of those applied sciences and half three comprises basic concerns resembling usability, accessibility, privateness and ethics.

With contributions from around the globe, themes lined comprise: shrewdpermanent houses, environmental sensors and information fusion, wearable sensors, units and clever outfits, criteria and interoperability, laptop imaginative and prescient for AAL, reasoning platforms, person-environment interplay, networks and integration structures, assistive and repair robotics, tele-care and telehealth, gait research, fall prevention, detection and intervention, prevention and administration of power stipulations, help to actions of day-by-day dwelling, psychological future health and cognitive stimulation, indoor and outdoors mobility, health, social interplay and isolation, usability, accessibility, privateness and moral issues.

Active and Assisted dwelling is a vital source for researchers in academia and constructing AAL applied sciences. scholars, healthcare practitioners and engineers, during this cross-disciplinary box, consisting of robotics and automation, telecommunications, computing and healthcare, will locate this instruction manual of use.

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Rantz, M. A. Aud, et al. “Older adults’ attitudes towards and perceptions of ‘smart home’ technologies: a pilot study”, Informatics for Health and Social Care, 29(2), pp. 87–94, (2004). Current SE and labs from an AAL view [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] 25 E. E. Stone, M. Skubic. “Silhouette classification using pixel and voxel features for improved elder monitoring in dynamic environments”, Pervasive Computing and Communications Workshops, PERCOM Workshops, pp.

Hagen. “Accurate scoring of the apnea–hypopnea index using a simple non-contact breathing sensor”, Journal of sleep research, 22(3), pp. 356–362, (2013). Current SE and labs from an AAL view [46] [47] [48] [49] [50] [51] [52] [53] [54] [55] [56] [57] [58] [59] [60] [61] 27 D. Austin, R. M. Cross, T. Hayes, J. Kaye. “Regularity and predictability of human mobility in personal space”, PloS one, 9(2), p. e90256, (2014). J. Kaye, N. Mattek, H. H. Dodge, et al. “Unobtrusive measurement of daily computer use to detect mild cognitive impairment”, Alzheimer’s & Dementia, 10(1), pp.

This kind of bounded problem fits well with ML methodologies, so there is continued interest in the area. Biostatus sensing to feed AAL systems, such as blood pressure, glucose, heart rate, sleep, hydration, and many more has revolutionised how we can monitor the health of individuals. These biostatus sensors are now invaluable tools in AAL, home, and clinical spaces. While biostatus technologies can measure physiological metrics, the mapping of behaviour to cognitive status is a relatively unexplored field.

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