Detection and Classification of Teacher-Rated Children’s Activity Levels Using Millimeter-Wave Radar and Machine Learning: A Pilot Study in a Real Primary School Environment

Detection and Classification of Teacher-Rated Children’s Activity Levels Using Millimeter-Wave Radar and Machine Learning: A Pilot Study in a Real Primary School Environment

Traditional assessments of children’s health and behavioral issues primarily rely on subjective evaluation by adult raters, which imposes major costs in time and human resource to the school system. This pilot study investigates the utilization of millimeter-wave radar coupled with machin...

Full description

Saved in:
Bibliographic Details
Main Authors: Tianyi Wang, Takuya Sakamoto, Yu Oshima, Itsuki Iwata, Masaya Kato, Haruto Kobayashi, Manabu Wakuta, Masako Myowa, Tokomo Nishimura, Atsushi Senju
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Machine learning
millimeter-wave radar
non-contact monitoring
real school environment
restlessness
Online Access:https://ieeexplore.ieee.org/document/10833603/
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items