A human-centered smart home system with wearable-sensor behavior analysis

Jianting Ji; Ting Liu; Chao Shen; Hongyu Wu; Wenyi Liu; Man Su; Siyun Chen; Zhanpei Jia

doi:10.1109/COASE.2016.7743529

A human-centered smart home system with wearable-sensor behavior analysis

Jianting Ji
, Ting Liu
, Chao Shen
, Hongyu Wu
, Wenyi Liu
, Man Su
, Siyun Chen
, Zhanpei Jia

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University
National Renewable Energy Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Smart home has recently attracted much research interest owing to its potential in improving the quality of human life. How to obtain user's demand is the most important and challenging task for appliance optimal scheduling in smart home, since it is highly related to user's unpredictable behavior. In this paper, a human-centered smart home system is proposed to identify user behavior, predict their demand and schedule the household appliances. Firstly, the sensor data from user's wearable devices are monitored to profile user's full-day behavior. Then, the appliance-demand matrix is constructed to predict user's demand on home environment, which is extracted from the history of appliance load data and user behavior. Two simulations are designed to demonstrate user behavior identification, appliance-demand matrix construction and strategy of appliance optimal scheduling generation.

Original language	English
Title of host publication	2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
Publisher	IEEE Computer Society
Pages	1112-1117
Number of pages	6
ISBN (Electronic)	9781509024094
DOIs	https://doi.org/10.1109/COASE.2016.7743529
State	Published - 14 Nov 2016
Event	2016 IEEE International Conference on Automation Science and Engineering, CASE 2016 - Fort Worth, United States Duration: 21 Aug 2016 → 24 Aug 2016

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2016-November
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
Country/Territory	United States
City	Fort Worth
Period	21/08/16 → 24/08/16

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10.1109/COASE.2016.7743529

Cite this

Ji, J., Liu, T., Shen, C., Wu, H., Liu, W., Su, M., Chen, S., & Jia, Z. (2016). A human-centered smart home system with wearable-sensor behavior analysis. In 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016 (pp. 1112-1117). Article 7743529 (IEEE International Conference on Automation Science and Engineering; Vol. 2016-November). IEEE Computer Society. https://doi.org/10.1109/COASE.2016.7743529

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title = "A human-centered smart home system with wearable-sensor behavior analysis",

abstract = "Smart home has recently attracted much research interest owing to its potential in improving the quality of human life. How to obtain user's demand is the most important and challenging task for appliance optimal scheduling in smart home, since it is highly related to user's unpredictable behavior. In this paper, a human-centered smart home system is proposed to identify user behavior, predict their demand and schedule the household appliances. Firstly, the sensor data from user's wearable devices are monitored to profile user's full-day behavior. Then, the appliance-demand matrix is constructed to predict user's demand on home environment, which is extracted from the history of appliance load data and user behavior. Two simulations are designed to demonstrate user behavior identification, appliance-demand matrix construction and strategy of appliance optimal scheduling generation.",

author = "Jianting Ji and Ting Liu and Chao Shen and Hongyu Wu and Wenyi Liu and Man Su and Siyun Chen and Zhanpei Jia",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016 ; Conference date: 21-08-2016 Through 24-08-2016",

year = "2016",

month = nov,

day = "14",

doi = "10.1109/COASE.2016.7743529",

language = "英语",

series = "IEEE International Conference on Automation Science and Engineering",

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Ji, J, Liu, T , Shen, C, Wu, H, Liu, W, Su, M, Chen, S & Jia, Z 2016, A human-centered smart home system with wearable-sensor behavior analysis. in 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016., 7743529, IEEE International Conference on Automation Science and Engineering, vol. 2016-November, IEEE Computer Society, pp. 1112-1117, 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016, Fort Worth, United States, 21/08/16. https://doi.org/10.1109/COASE.2016.7743529

A human-centered smart home system with wearable-sensor behavior analysis. / Ji, Jianting; Liu, Ting ; Shen, Chao et al.
2016 IEEE International Conference on Automation Science and Engineering, CASE 2016. IEEE Computer Society, 2016. p. 1112-1117 7743529 (IEEE International Conference on Automation Science and Engineering; Vol. 2016-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ji, Jianting

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AU - Chen, Siyun

AU - Jia, Zhanpei

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AB - Smart home has recently attracted much research interest owing to its potential in improving the quality of human life. How to obtain user's demand is the most important and challenging task for appliance optimal scheduling in smart home, since it is highly related to user's unpredictable behavior. In this paper, a human-centered smart home system is proposed to identify user behavior, predict their demand and schedule the household appliances. Firstly, the sensor data from user's wearable devices are monitored to profile user's full-day behavior. Then, the appliance-demand matrix is constructed to predict user's demand on home environment, which is extracted from the history of appliance load data and user behavior. Two simulations are designed to demonstrate user behavior identification, appliance-demand matrix construction and strategy of appliance optimal scheduling generation.

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ER -

A human-centered smart home system with wearable-sensor behavior analysis

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