• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

Development of a Machine-Learning based Human Activity Recognition System including Eastern-Asian Specific Activities


Seungmin Jeong, Cheolwoo Choi, Dongik Oh, Journal of Internet Computing and Services, Vol. 21, No. 4, pp. 127-135, Aug. 2020
10.7472/jksii.2020.21.4.127, Full Text:
Keywords: Human Activity Recognition, Smartwatch, Accelerometer, Machine Learning, Activity Classification, feature extraction, feature reduction

Abstract

The purpose of this study is to develop a human activity recognition (HAR) system, which distinguishes 13 activities, including five activities commonly dealt with in conventional HAR researches and eight activities from the Eastern-Asian culture. The eight special activities include floor-sitting/standing, chair-sitting/standing, floor-lying/up, and bed-lying/up. We used a 3-axis accelerometer sensor on the wrist for data collection and designed a machine learning model for the activity classification. Data clustering through preprocessing and feature extraction/reduction is performed. We then tested six machine learning algorithms for recognition accuracy comparison. As a result, we have achieved an average accuracy of 99.7% for the 13 activities. This result is far better than the average accuracy of current HAR researches based on a smartwatch (89.4%). The superiority of the HAR system developed in this study is proven because we have achieved 98.7% accuracy with publically available 'pamap2' dataset of 12 activities, whose conventionally met the best accuracy is 96.6%.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[APA Style]
Seungmin Jeong, Cheolwoo Choi, & Dongik Oh (2020). Development of a Machine-Learning based Human Activity Recognition System including Eastern-Asian Specific Activities. Journal of Internet Computing and Services, 21(4), 127-135. DOI: 10.7472/jksii.2020.21.4.127.

[IEEE Style]
S. Jeong, C. Choi and D. Oh, "Development of a Machine-Learning based Human Activity Recognition System including Eastern-Asian Specific Activities," Journal of Internet Computing and Services, vol. 21, no. 4, pp. 127-135, 2020. DOI: 10.7472/jksii.2020.21.4.127.

[ACM Style]
Seungmin Jeong, Cheolwoo Choi, and Dongik Oh. 2020. Development of a Machine-Learning based Human Activity Recognition System including Eastern-Asian Specific Activities. Journal of Internet Computing and Services, 21, 4, (2020), 127-135. DOI: 10.7472/jksii.2020.21.4.127.