Volume 17, No. 1, 2020
Transformer Network For The Recognition Of Human Activity Using Smartphone Data
Abhishek Jain , Parag Jain , Aman Kumar , Gaurav Chaturvedi , Gaurav Gupta , Deepak Arya
Abstract
Automatic behavior analysis for sports players, older people, and IoT applications requires sensor-based human activity identification. Conventional means rely on finger features to tend to fluctuate from raw data using preset mathematical concepts and therefore are incapable of domain adaptation. We proposed a Transformer network in this study to recognize six human actions from Smartphone data. Each participant did six activities while wearing a Smartphone (Samsung Galaxy S II) around their waist (walking, walking upstairs, and walking downstairs, sitting, standing, and laying). The tests were recorded and labeled manually and partitioned randomly into two groups. Furthermore, the performance of the proposed model is evaluated.
Pages: 613-622
Keywords: Transformer Network, Smartphone data, Human activities.