Loading [MathJax]/extensions/MathZoom.js
Spectral-Temporal Fusion Representation for Person-in-Bed Detection | IEEE Conference Publication | IEEE Xplore

Spectral-Temporal Fusion Representation for Person-in-Bed Detection


Abstract:

This study is based on the ICASSP 2025 Signal Processing Grand Challenge’s Accelerometer-Based Person-in-Bed Detection Challenge, which aims to determine bed occupancy us...Show More

Abstract:

This study is based on the ICASSP 2025 Signal Processing Grand Challenge’s Accelerometer-Based Person-in-Bed Detection Challenge, which aims to determine bed occupancy using accelerometer signals. The task is divided into two tracks: "in bed" and "not in bed" segmented detection and streaming detection, facing challenges such as individual differences, posture variations, and external disturbances. We propose a spectral-temporal fusion-based feature representation method with mixup data augmentation, and adopt Intersection over Union (IoU) loss to optimize detection accuracy. In the two tracks, our method achieved outstanding results of 100.00% and 95.55% in detection scores, securing first place and third place, respectively.
Date of Conference: 06-11 April 2025
Date Added to IEEE Xplore: 07 March 2025
ISBN Information:

ISSN Information:

Conference Location: Hyderabad, India

Contact IEEE to Subscribe

References

References is not available for this document.