High Quality Sensor
High-quality sensor research focuses on improving sensor accuracy, reliability, and functionality across diverse applications. Current efforts concentrate on developing novel sensor designs (e.g., ultrasonic, tactile, and 3D vision sensors), advanced signal processing techniques (e.g., spectral subtraction, deep learning for anomaly detection), and robust sensor fusion methods to mitigate noise and improve data interpretation. These advancements are crucial for enhancing autonomous systems, improving healthcare monitoring (e.g., non-invasive glucose measurement), and enabling more precise and reliable data acquisition in various fields, from robotics to environmental monitoring.
Papers
SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing
Pengrui Quan, Xiaomin Ouyang, Jeya Vikranth Jeyakumar, Ziqi Wang, Yang Xing, Mani Srivastava
SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition
Zechen Li, Shohreh Deldari, Linyao Chen, Hao Xue, Flora D. Salim