2023-03-02 チャルマース工科大学
この小型センサーは、家具、壁、天井などに取り付けることができます。センサーがリアルタイムで取得した歩行パターンの解析により、転倒事故や認知症の予防策を提供することが可能です。
この方法は、プライバシーを侵害せず、データ収集にカメラの使用が必要ないため、安心して使用できます。この方法は市販される可能性があり、将来的には他の病気の発症予測にも役立つと期待されています。
<関連情報>
- https://news.cision.com/chalmers/r/using-radar-to-predict-alzheimer-s-disease-and-fall-accidents,c3725681
- https://www.mdpi.com/1424-8220/22/24/9901
高齢者の疾病・転倒予防のための実環境におけるミリ波レーダーによる歩行歩数モニタリング Walking Step Monitoring with a Millimeter-Wave Radar in Real-Life Environment for Disease and Fall Prevention for the Elderly
Xuezhi Zeng,Halldór Stefán Laxdal Báruson and Alexander Sundvall
Sensors Published: 16 December 2022
DOI:https://doi.org/10.3390/s22249901
Abstract
We studied the use of a millimeter-wave frequency-modulated continuous wave radar for gait analysis in a real-life environment, with a focus on the measurement of the step time. A method was developed for the successful extraction of gait patterns for different test cases. The quantitative investigation carried out in a lab corridor showed the excellent reliability of the proposed method for the step time measurement, with an average accuracy of 96%. In addition, a comparison test between the millimeter-wave radar and a continuous-wave radar working at 2.45 GHz was performed, and the results suggest that the millimeter-wave radar is more capable of capturing instantaneous gait features, which enables the timely detection of small gait changes appearing at the early stage of cognitive disorders.