3 papers
cs.CV2025
Comprehensive Evaluation of Rule-Based, Machine Learning, and Deep Learning in Human Estimation Using Radio Wave Sensing: Accuracy, Spatial Generalization, and Output Granularity Trade-offs
Tomoya Tanaka, Tomonori Ikeda, Ryo Yonemoto
This study presents the first comprehensive comparison of rule-based methods, traditional machine learning models, and deep learning models in radio wave sensing with frequency mod…
cs.CV2025
Comprehensive Deployment-Oriented Assessment for Cross-Environment Generalization in Deep Learning-Based mmWave Radar Sensing
Tomoya Tanaka, Tomonori Ikeda, Ryo Yonemoto
This study presents the first comprehensive evaluation of spatial generalization techniques, which are essential for the practical deployment of deep learning-based radio-frequency…
eess.SP2024
Validation of Practicality for CSI Sensing Utilizing Machine Learning
Tomoya Tanaka, Ayumu Yabuki, Mizuki Funakoshi +1
In this study, we leveraged Channel State Information (CSI), commonly utilized in WLAN communication, as training data to develop and evaluate five distinct machine learning models…