SenseAgent: An LLM Agent for Adaptive Cross-Domain IMU Sensing

arXiv:2609.32000 · cs.AI · Submitted 2026-09-25 · Read on arXiv

cs.AI

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Adaptation — 72× in this paper · explained in 1 episode
• Verifier — 72× in this paper · explained in 2 episodes
• Verification — 14× in this paper · explained in 2 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Ablation — 5× in this paper · explained in 1 episode
• Data Augmentation — 5× in this paper · explained in 7 episodes
• Domain Adaptation — 5× in this paper · explained in 5 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Embeddings — 4× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Action Space — 3× in this paper · explained in 1 episode
• Domain Shift — 3× in this paper · explained in 4 episodes
• Few-Shot Learning — 3× in this paper · explained in 4 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Distribution Shift — 2× in this paper · explained in 5 episodes
• Linear Probing — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Diagnostic Tools — 1× in this paper · explained in 2 episodes
• Fingerprinting — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Linear probe — 1× in this paper · explained in 2 episodes
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Online Adaptation — 1× in this paper · explained in 3 episodes
• Recent Artificial Internet of Things — 1× in this paper
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook
• Large Language Model Agent: A Survey on Methodology, Applications and Challenges
• A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
• Qwen3 Technical Report
• ReAct: Synergizing Reasoning and Acting in Language Models

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