Self-esteem recognition based on gait pattern using Kinect

• Published in: Gait & posture Vol. 58; no. NA; pp. 428 - 432
• Main Authors: Sun, Bingli, Zhang, Zhan, Liu, Xingyun, Hu, Bin, Zhu, Tingshao
• Format: Journal Article
• Language: English
• Published: England Elsevier B.V 01.10.2017
• Subjects: Adult; Behavioral assessment; Computer Systems; Female; Gait; Gait pattern; Humans; Kinect; Machine Learning; Male; Psychological Tests; Reproducibility of Results; Self Concept; Self-esteem; Young Adult; Kinect; Gait pattern; Self-esteem; Behavioral assessment; Machine learning
• ISSN: 0966-6362; 1879-2219; 1879-2219
• DOI: 10.1016/j.gaitpost.2017.09.001

•We used Kinect to capture real-time gait data to predict individual’s self-esteem.•Gait pattern can be used to predict self-esteem to some extent.•The gait predicting model can be taken as a good supplementary method to measure self-esteem. Self-esteem is an important aspect of individual’s mental health. When subjects are not able to complete self-report questionnaire, behavioral assessment will be a good supplement. In this paper, we propose to use gait data collected by Kinect as an indicator to recognize self-esteem. 178 graduate students without disabilities participate in our study. Firstly, all participants complete the 10-item Rosenberg Self-Esteem Scale (RSS) to acquire self-esteem score. After completing the RRS, each participant walks for two minutes naturally on a rectangular red carpet, and the gait data are recorded using Kinect sensor. After data preprocessing, we extract a few behavioral features to train predicting model by machine learning. Based on these features, we build predicting models to recognize self-esteem. For self-esteem prediction, the best correlation coefficient between predicted score and self-report score is 0.45 (p<0.001). We divide the participants according to gender, and for males, the correlation coefficient is 0.43 (p<0.001), for females, it is 0.59 (p<0.001). Using gait data captured by Kinect sensor, we find that the gait pattern could be used to recognize self-esteem with a fairly good criterion validity. The gait predicting model can be taken as a good supplementary method to measure self-esteem.