Conformer-Based Human Activity Recognition Using Inertial Measurement Units.

ABSTRACT: Human activity recognition (HAR) using inertial measurement units (IMUs) is gaining popularity due to its ease of use, accurate and reliable measurements of motion and orientation, and its suitability for real-time IoT applications such as healthcare monitoring, sports and fitness tracking, video surveillance and security, smart homes and assistive technologies, human-computer interaction, workplace safety, and rehabilitation and physical therapy. IMUs are widely used as they provide precise and consistent measurements of motion and orientation, making them an ideal choice for HAR. This paper proposes a Conformer-based HAR model that employs attention mechanisms to better capture the temporal dynamics of human movement and improve the recognition accuracy. The proposed model consists of co

SUBMITTER: Seenath S 

PROVIDER: S-EPMC10490152 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature