This research evaluates how Large Language Models can revolutionize sensor data processing without requiring deep signal-processing expertise.

• Creates SensorBench, a comprehensive benchmark for testing LLM performance on sensor tasks
• Demonstrates LLMs can effectively interpret complex sensor data across multiple domains
• Identifies gaps where LLMs need improvement for real-world sensor applications

For engineering teams, this research opens new pathways to develop intelligent sensing systems with reduced expertise requirements, potentially accelerating IoT and cyber-physical system development.

SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing