3 papers
cs.AI2026
MuRAL: A Multi-Resident Ambient Sensor Dataset Annotated with Natural Language for Activities of Daily Living
Xi Chen, Julien Cumin, Fano Ramparany +1
Recent progress in Large Language Models (LLMs) has enabled advanced reasoning and zero-shot recognition for human activity understanding with ambient sensor data. However, widely…
cs.CV2024
Towards LLM-Powered Ambient Sensor Based Multi-Person Human Activity Recognition
Xi Chen, Julien Cumin, Fano Ramparany +1
Human Activity Recognition (HAR) is one of the central problems in fields such as healthcare, elderly care, and security at home. However, traditional HAR approaches face challenge…
cs.LG2024
Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition
Xi Chen, Julien Cumin, Fano Ramparany +1
This paper presents two models to address the problem of multi-person activity recognition using ambient sensors in a home. The first model, Seq2Res, uses a sequence generation app…