3 citations · 3 across the 2 of their papers we have counts for
3 papers · 1 filter
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…
Q-SMASH: Q-Learning-based Self-Adaptation of Human-Centered Internet of Things
Hamed Rahimi, Iago Felipe Trentin, Fano Ramparany +1
As the number of Human-Centered Internet of Things (HCIoT) applications increases, the self-adaptation of its services and devices is becoming a fundamental requirement for address…
SMASH: a Semantic-enabled Multi-agent Approach for Self-adaptation of Human-centered IoT
Hamed Rahimi, Iago Felipe Trentin, Fano Ramparany +1
Nowadays, IoT devices have an enlarging scope of activities spanning from sensing, computing to acting and even more, learning, reasoning and planning. As the number of IoT applica…