Evaluation of Higher-Level Instrumental Activities of Daily Living via Micro-Doppler Radar Sensing of Sit-to-Stand-to-Sit Movement

Kenshi Saho; Kazuki Uemura; Masahiro Fujimoto; Michito Matsumoto

doi:10.1109/JTEHM.2020.2964209

Evaluation of Higher-Level Instrumental Activities of Daily Living via Micro-Doppler Radar Sensing of Sit-to-Stand-to-Sit Movement

IEEE J Transl Eng Health Med. 2019 Jan 7:8:2100211. doi: 10.1109/JTEHM.2020.2964209. eCollection 2020.

Authors

Kenshi Saho^{1

2}, Kazuki Uemura¹, Masahiro Fujimoto³, Michito Matsumoto²

Affiliations

¹ 1Faculty of EngineeringToyama Prefectural UniversityImizu939-0398Japan.
² 3Department of Social WelfareToyama College of Welfare ScienceImizu939-0341Japan.
³ 2Human Augmentation Research CenterNational Institute of Advanced Industrial Science and TechnologyKashiwa277-0882Japan.

Abstract

This paper presents an evaluation technique for higher-level instrumental activities of daily living (HL-IADLs), which are defined as relatively complicated modern daily activities to perform independently, using micro-Doppler radar (MDR) signatures of sit-to-stand-to-sit (STSTS) movements. Because HL-IADLs are useful for evaluating the degree of disability and cognitive decline in daily life, this study aims to develop a system that enables the identification of individuals with HL-IADL impairments in an unconstrained manner. The study participants were elderly adults of age 65-74 years of rural communities in Japan, and their motion parameters in natural STSTS were extracted via a single 24-GHz MDR installed on the ceiling. Their HL-IADLs were evaluated using a questionnaire-based scale called the Japan Science and Technology Agency Index of Competence (JST-IC). The relationship between the HL-IADLs scaled with the JST-IC and the extracted STSTS parameters were statistically analyzed, and the results revealed that the extracted parameters were associated with the JST-IC score. Furthermore, an appropriately accurate screening method was verified for elderly adults with HL-IADL impairment using the extracted parameters.

Keywords: Activity recognition; Doppler radar; motion analysis; statistical analysis.

Grants and funding

This work was supported in part by the Strategic Information and Communications Research and Development Promotion Programme (SCOPE) of the Ministry of Internal Affairs and Communications of Japan and Grants-in-Aid for Scientific Research of the Japan Society for the Promotion of Science under Grant 16K16093.