We combined multiple classification models to recognize five smartphone modes (calling, handheld, pocket, armband, swing). In addition to using a combination of time-domain and frequency-domain features of smartphone built-in accelerometers and gyroscopes during the stride interval, we constructed ...
Wang and Ye [42] proposed a smartphone mode recognition algorithm using a stacking regression model to effectively determine various smartphone carrying modes (calling, handheld, pocket, armband and swing), with an average recognition accuracy of 98.82%. The proposed method results in an error of ...