GG-LLM: Geometrically Grounding Large Language Models for Zero-shot Human Activity Forecasting in Human-Aware Task Planning
Author:
Affiliation:
1. Research Performed at Samsung AI Center New York,New York,NY,USA,10010
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611090.pdf?arnumber=10611090
Reference21 articles.
1. Human Activity Recognition With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review
2. On the Benefits of 3D Pose and Tracking for Human Action Recognition
3. Accurate activity recognition in a home setting
4. Activity Recognition in the Home Using Simple and Ubiquitous Sensors
5. Chatgpt for robotics: Design principles and model abilities;Vemprala;Microsoft Auton. Syst. Robot. Res,2023
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