Situation awareness in a smart home environment

Shu Yun Lee, Fuchun Lin

研究成果: Conference contribution同行評審

17 引文 斯高帕斯(Scopus)

摘要

Situation awareness is a must for a smart home to exhibit its smartness. Normally, this is accomplished by accurately detecting the activities of a home user and then responding to the need of the user accordingly. This research utilizes a single wearable device equipped with an accelerometer and a gyroscope to detect eight potential activities in the living room of a smart home environment. First, the models of activities are constructed based on training data generated from the wearable device. Then, when a user performs the activity, the newly generated data would be compared with the established models to identify the type of current activity. Our method of model construction and activity detection is based on Decision Tree and Hidden Markov Model (HMM) with the assistance of location data derived from Beacons. The unique advantage of our method lies in its low cost as only one wearable device and a couple of beacons are required for achieving the desired situation awareness.

原文English
主出版物標題2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面678-683
頁數6
ISBN(電子)9781509041305
DOIs
出版狀態Published - 2016
事件3rd IEEE World Forum on Internet of Things, WF-IoT 2016 - Reston, 美國
持續時間: 12 12月 201614 12月 2016

出版系列

名字2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016

Conference

Conference3rd IEEE World Forum on Internet of Things, WF-IoT 2016
國家/地區美國
城市Reston
期間12/12/1614/12/16

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