SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition

14 October 2024

Papers citing "SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition"

5 / 5 papers shown

Title
EgoCHARM: Resource-Efficient Hierarchical Activity Recognition using an Egocentric IMU Sensor Akhil Padmanabha Saravanan Govindarajan Hwanmun Kim Sergio Ortiz Rahul Rajan Doruk Senkal Sneha Kadetotad 20 0 0 24 Apr 2025
RadarLLM: Empowering Large Language Models to Understand Human Motion from Millimeter-wave Point Cloud Sequence Zengyuan Lai Jiarui Yang Songpengcheng Xia Lizhou Lin Lan Sun Renwen Wang J. Liu Qi Wu Ling Pei 26 0 0 14 Apr 2025
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition Baiyu Chen Wilson Wongso Zechen Li Yonchanok Khaokaew Hao Xue Flora D. Salim 51 0 0 10 Mar 2025
Mojito: LLM-Aided Motion Instructor with Jitter-Reduced Inertial Tokens Ziwei Shan Yaoyu He Chengfeng Zhao Jiashen Du Jingyan Zhang Qixuan Zhang Jingyi Yu Lan Xu 38 1 0 22 Feb 2025
EgoHand: Ego-centric Hand Pose Estimation and Gesture Recognition with Head-mounted Millimeter-wave Radar and IMUs Yizhe Lv Tingting Zhang Yunpeng Song H. Ding Jinsong Han Fei-Yue Wang 31 1 0 23 Jan 2025