Elderly Safety: A Smartphone Based Real Time Approach
Document Type
Conference Proceeding
Language
eng
Format of Original
9 p.
Publication Date
2013
Publisher
Springer
Source Publication
11th International Conference on Smart Homes and Health Telematics, ICOST 2013, Singapore, June 19-21, 2013.
Source ISSN
0302-9743
Original Item ID
doi: 10.1007/978-3-642-39470-6_17
Abstract
As the number of elderly people living worldwide and average life expectancy increases, older adults’ safety assurance has become increasingly important. There are many works on safety issues of the elderly focusing on human activity classification. Most of them use external sensor devices and/or completely or partially user input based classification and prediction systems. In this paper, we have developed an algorithmic model, monitored and documented elderly people‘s daily activities by using the gyroscope and accelerometer of a smartphone and with the use of those data and model, we calculated how much activity is required or overdone for a subject in order to maintain a healthy lifestyle. More importantly, we built a real time system that could not only judge what basic activity the subject is currently doing, but also protect the subject from possible injury that might happen to the subject if abnormal data is received.
Recommended Citation
Alam, Mohammad Arif Ul; Weiqiang, Wang; Ahamed, Sheikh Iqbal; and Chu, William, "Elderly Safety: A Smartphone Based Real Time Approach" (2013). Mathematics, Statistics and Computer Science Faculty Research and Publications. 211.
https://epublications.marquette.edu/mscs_fac/211
Comments
Published as part of the proceedings of the conference, 11th International Conference on Smart Homes and Health Telematics, ICOST 2013, Singapore, June 19-21, 2013: 134-142. DOI.