Author(s)

Qi Zhong¹, Xiaoyan Wang², Wei Wang^1*

¹Laboratory of Machine Learning and Cognition, School of Education Science, Nanjing Normal University, Nanjing, China.
²Linping the First Middle School, HangZhou, China.

Good balance ability plays an important role in teenagers’ physical development. Establishing a comprehensive evaluation system is conducive to promote the development of teenagers’ balance ability test. In this study, based on the calculation of the center of mass, Kinect detects human body’s joints to obtain 10 basic indicators of the static balance ability, calculate the weight coefficient and the variation coefficient by the variation coefficient method and calculate the coefficient values of different tasks and indexes, finally, combine coefficient linear with weight linear sum method to obtain comprehensive evaluation index formula of static balance ability. From the test items in the text, the weight coefficient of the single foot standing with closing eyes is relatively high (29.23%), which had a greater influence on the final static balance ability assessment. In the test indicators, the weight coefficient of index in the swing speed of center of mass is relatively high (32.9%), and that in swinging of the vertical axis of center of mass is also relatively high (30.0%), taking great impact on the final test result. Finally, there is a comparison between the results of this study and experts’ evaluation result, the correlation coefficient between the two (|r| > 0.85, r < 0, p < 0.01) indicates that the two groups have a high negative correlation, and they match yet the evaluation system is more sensitive if two scores are normalized to the same interval.

Balance Ability, Center of Mass, Variation Coefficient, Comprehensive Evaluation

Zhong, Q. , Wang, X. and Wang, W. (2019) Research on Teenagers’ Static Balance Ability Based on Somatosensory Interaction. Advances in Applied Sociology, 9, 15-31. doi: 10.4236/aasoci.2019.91002.