March 2018
Intermediate to advanced
484 pages
10h 31m
English
The Human Activity Recognition (HAR) database was built by taking measurements from 30 participants who performed activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors. The objective is to classify their activities into one of the six categories mentioned previously.
The experiments were carried out on a group of 30 volunteers within an age range of 19-48 years. Each person accomplished six activities (walking, walking upstairs, walking downstairs, sitting, standing, and laying) while wearing a Samsung Galaxy S II smartphone on their waist. Using an accelerometer and a gyroscope, the author captured 3-axial linear acceleration and ...
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