6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CV2025
EgoCHARM: Resource-Efficient Hierarchical Activity Recognition using an Egocentric IMU Sensor
Akhil Padmanabha, Saravanan Govindarajan, Hwanmun Kim +4
Human activity recognition (HAR) on smartglasses has various use cases, including health/fitness tracking and input for context-aware AI assistants. However, current approaches for…
cs.LG2022★ 6 cited
CHARM: A Hierarchical Deep Learning Model for Classification of Complex Human Activities Using Motion Sensors
Eric Rosen, Doruk Senkal
In this paper, we report a hierarchical deep learning model for classification of complex human activities using motion sensors. In contrast to traditional Human Activity Recogniti…