Introduction

We propose an architectural system that supports residents' healthy and safe living. By using robots and sensors to sense their daily activities, we optimize the space according to their health condition. For example, we conduct research on obtaining walking information for fall risk detection and propose designs tailored to the residents' level of physical function.

■Motion Measurement and Analysis
・Research Objective: To extract universal differences by age group in sit-to-stand movements of daily life and clarify where the differences between age groups lie in the sequence of movements.
- Title: A comprehensive analysis of sit‐to‐stand movement in a living space involving principal component analysis, Haraguchi Naohiro, Ogawa Ami, Mita Akira （JAPAN ARCHITECTURAL REVIEW） 6 （ 1 ） Jan. 2023
・Research Objective: To develop an objective index to assess difficulties in activities of daily living as an indicator of health deterioration by observing stair walking, and to investigate the effects of stair dimensions on the relationship between the index and health deterioration.
- Title: Staircase design for health monitoring in elderly people, Ogawa Ami, Iijima Hirotaka, Takahashi Masaki （Journal of Building Engineering） 37 102152 May. 2021
・Research Objective: To devise a new method for estimating the 3D position of the knee joint using depth data from Kinect v2 during stair walking.
- Title: Markerless Knee Joint Position Measurement Using Depth Data during Stair Walking, Ogawa Ami, Mita Akira, Yorozu Ayanori, Takahashi Masaki （Sensors） 17 （ 11 ） 2698 Nov. 2017
■Human Activity Recognition and Evaluation
・Research Objective: To test whether the range of the knee joint trajectory (RKJT) effectively identifies patients with early knee osteoarthritis even after controlling stair performance time.
- Title: Identification of Early Knee Osteoarthritis Based on Knee Joint Trajectory during Stair Climbing, Ogawa Ami, Iijima Hirotaka, Takahashi Masaki （International Journal of Environmental Research and Public Health） 19 （ 22 ） 15023 Nov. 2022
・Research Objective: To propose and evaluate two methods for recognizing human activities using depth images to construct a database for Biofied Building systems.
- Title: Recognition of human activities using depth images of Kinect for biofied building, Ogawa Ami, Mita Akira （SPIE Proceedings） 9435 94351U Mar. 2015

Areas of Research

・Architectural planning, housing
・Welfare engineering
・Home economics, life sciences

Social Contributions

・Reduction in healthcare visits
・Enhanced patient monitoring
・Improved quality of life for musculoskeletal disorder patients