Paper Info
Title
Toward Capturing Scientific Evidence in Elderly Care: Efficient Extraction of Changing Facial Feature Points
Abstract
To capture scientific evidence in elderly care, a user-defined facial expression sensing service was proposed in our previous study. Since the time-series data of feature values have been growing at a high rate as the measurement time increases, it may be difficult to find points of interest, especially for detecting changes from the elderly facial expression, such as many elderly people can only be shown in a micro facial expression due to facial wrinkles and aging. The purpose of this paper is to implement a method to efficiently find points of interest (PoI) from the facial feature time-series data of the elderly. In the proposed method, the concept of changing point detection into the analysis of feature values is incorporated by us, to automatically detect big fluctuations or changes in the trend in feature values and detect the moment when the subject's facial expression changed significantly. Our key idea is to introduce the novel concept of composite feature value to achieve higher accuracy and apply change-point detection to it as well as to single feature values. Furthermore, the PoI finding results from the facial feature time-series data of young volunteers and the elderly are analyzed and evaluated. By the experiments, it is found that the proposed method is able to capture the moment of large facial movements even for people with micro facial expressions and obtain information that can be used as a clue to investigate their response to care.</p>
Year
DOI
Venue
2021
10.3390/s21206726
SENSORS
Keywords
DocType
Volume
scientific long-term care, facial expression, points of interest, changing point detection
Journal
21
Issue
ISSN
Citations 
20
1424-8220
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Kosuke Hirayama100.34
Sinan Chen213.14
Sachio Saiki35524.46
Masahide Nakamura452672.51