研究目的
Assessing the feasibility of using a small number of sensors to track movement and infer physical activity levels of older adults within their homes.
研究成果
The study shows that a small network of low-cost, minimally obtrusive sensors which tracks movement between rooms is a promising solution for monitoring the in-home physical activity of older adults. Placing three sensors could lead to an average regression coefficient of determination value of 0.922, indicating the feasibility of a small, low-cost sensor system in various environments.
研究不足
The study assumes straight-line travel between the centers of two rooms and relies on a linear equation for calculating distance travelled. The method of data preprocessing, where information regarding the rooms in which the activities occurred was not always available, could be subject to considerable variation between individuals.
1：Experimental Design and Method Selection:
Simulation, optimization, and regression analyses were employed to assess the feasibility of using a small number of sensors to track movement and infer physical activity levels of older adults.
2：Sample Selection and Data Sources:
Data were obtained from the American Time Use Survey (ATUS) micro-data files and five senior citizen apartment layouts from communities across the United States.
3：List of Experimental Equipment and Materials:
Doorway sensors for tracking movement between rooms.
4：Experimental Procedures and Operational Workflow:
An integer programming model was constructed to study the percent of activity that could be detected by a limited number of placed sensors. Regression analysis was performed to infer how well one could predict distance travelled by an individual based on the number of passes between various doorways.
5：Data Analysis Methods:
Optimization and regression analyses involving five different apartment layouts and simulated physical activities based on the ATUS.
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