کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4951580 1441482 2017 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Cyber-physical cloud-oriented multi-sensory smart home framework for elderly people: An energy efficiency perspective
ترجمه فارسی عنوان
چشمانداز خانه هوشمند مبتنی بر ابر حسی سایبر فیزیکی برای سالمندان: دیدگاه کارآیی انرژی
کلمات کلیدی
کنترل دستگاه مبتنی بر ژست، بهینه سازی انرژی، تجزیه و تحلیل ابر برای داده های انرژی، تشخیص داده های چند حسی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
چکیده انگلیسی
The emerging Cyber-Physical Systems (CPSs) provide a number of services ranging from smart homes to elderly care. With a CPS, a user's (elderly person's) interactions with smart home appliances are sensed, collected, and shared in physical spaces. This interaction is then delivered to cyberspaces for processing in order to monitor energy efficiency. In this paper, we propose an energy-efficient cyber-physical smart home system for monitoring the elderly that uses the potential of cloud computing and big data technologies. Given that an elderly person may need assistance with the complex activities of maintaining energy efficiency, a smart multimedia-enabled middleware assistant is proposed that enables him/her to observe different energy-efficient processes, control smart home appliances through gestures, receive notifications regarding appliance statuses, and share multimedia messages with a community of interest. For data processing, robust and low-dimensional discriminative features are extracted in a server from the data available via sensors and multimedia. Events are also automatically classified in the server to assist caregiver decision-making. To save energy, an automatic switch on/off control system using speech or gesture is developed. Keywords are detected from the speech and used as control commands. Experimental results show the encouraging potential of deploying this framework at a large scale.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Parallel and Distributed Computing - Volume 103, May 2017, Pages 11-21
نویسندگان
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