An innovative microprocessor-based system for Human Activity Recognition: A fast and reliable classification algorithm

Introduction: The aim of this study is to describe the implementation of a microprocessor-based system for Human Activity Recognition (HAR) able to recognize seven activities of daily life (ADLs). The system is based on a body-worn miniature inertial measurement unit (IMU) that is part of a microprocessor system based on a 32-bit CPU (ARM 4 Cortex). A Decision Tree (DT) classifier implemented on the microcontroller performs the classification of the daily activities.
Source: Gait and Posture - Category: Orthopaedics Authors: Source Type: research
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