A Real-time Human Pose Estimation Approach for Optimal Sensor Placement in Sensor-based Human Activity Recognition

no code implementations • 6 Jul 2023 • Orhan Konak, Alexander Wischmann, Robin van de Water, Bert Arnrich

This research significantly advances the field of Human Activity Recognition by providing a lightweight, on-device solution for determining the optimal sensor placement, thereby enhancing data anonymization and supporting a multimodal classification approach.

Human Activity Recognition Pose Estimation