Get Active and Assisted Living. Technologies and Applications PDF
By Francisco Florez-Revuelta, Alexandros Andre Chaaraoui
It is a large introductory guide, for tutorial and researchers, protecting the key applied sciences and purposes in Ambient Assisted residing (AAL). Set out in 3 major sections: half 1 makes a speciality of present state of the art know-how and significant research: half 2 covers the purposes of those applied sciences and half three contains normal matters akin to usability, accessibility, privateness and ethics.
With contributions from world wide, themes lined contain: shrewdpermanent houses, environmental sensors and knowledge fusion, wearable sensors, units and shrewdpermanent outfits, criteria and interoperability, laptop imaginative and prescient for AAL, reasoning structures, person-environment interplay, networks and integration systems, assistive and repair robotics, tele-care and telehealth, gait research, fall prevention, detection and intervention, prevention and administration of continual stipulations, help to actions of day-by-day residing, psychological health and wellbeing and cognitive stimulation, indoor and outside mobility, health, social interplay and isolation, usability, accessibility, privateness and moral issues.
Active and Assisted residing is a vital source for researchers in academia and constructing AAL applied sciences. scholars, healthcare practitioners and engineers, during this cross-disciplinary box, such as robotics and automation, telecommunications, computing and healthcare, will locate this instruction manual of use.
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Extra info for Active and Assisted Living. Technologies and Applications
Rantz, T. Yardibi, P. Cuddihy. “Automatic fall detection based on doppler radar motion signature”, Pervasive Computing Technologies for Healthcare, PervasiveHealth, pp. 222–225, (IEEE, Dublin, Ireland, 2011). M. Rantz, T. Banerjee, E. Cattoor, S. Scott, M. Skubic, M. Popescu. “Automated fall detection with quality improvement”, “Rewind to Reduce Falls in Hospital Rooms”, Journal of Gerontological Nursing Technology Innovations, (2014). M. Rantz, M. Skubic, C. Abbott, et al. “Automated in-home fall risk assessment and detection sensor system for elders”, The Gerontologist, 55(Suppl 1), pp.
A historical perspective of speech recognition”, Communications of the ACM, 57(1), pp. 94–103, (2014). M. C. Mozer. “The neural network house: An environment that adapts to its inhabitants”, Proceedings of the AAAI Spring Symposium on Intelligent Environments, pp. 110–114, (AAAI Press, Menlo Park, CA, 1998), [Online]. com/research/the-neural-network-house-anenvironment-that-adapts-to-its-inhabitants/. EcoVent. 15. ZoneFirst. 15. A. Rabbani, S. Keshav. “The Spot* system for flexible personal heating and cooling”, ACM Sixth International Conference on Future Energy Systems, pp.
For EEG, ECG, and EMG, capacitive sensors are typically used to measure bio potentials. In contrast, for vital sign measurements such as heart rate, respiration rate and blood pressure, optical detection techniques such as photoplethysmography or piezoelectric strain sensors are generally used. The commercial availability of patch-based wearable sensors represents a significant advancement in personal monitoring device design, functionality, and wear time. Examples include HealthPatch™ and Metria™, which are patch-based wearable biometric sensors that adhere to the user’s skin and continuously gather physiological, lifestyle information, and other indicators for up to 7 days.
Active and Assisted Living. Technologies and Applications by Francisco Florez-Revuelta, Alexandros Andre Chaaraoui