Posture identification is an example of one of many physiological characteristics that can be used to determine a variety of health parameters. Pressure mats and camera analysis are common methodologies to determine posture of a subject in a chair. In this paper, we show results of a laboratory study of how we can determine posture of a subject using various arrays of multiple low-cost temperature sensors per section or characteristic to be determined. This can be a standalone occupancy and posture system, or can be fused with data from other technologies to validate data from pressure or visual-based systems. The system was tested with different types of furniture such as various styles of chairs, armrests, cushions, and beds.

Additional Metadata
Keywords IoT, low cost, posture, pressure, sensors, smart environment, temperature sensor, unobtrusive sensors
Persistent URL dx.doi.org/10.1109/MeMeA.2017.7985917
Conference 12th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2017
Citation
Russell, L. (Luke), Goubran, R, & Kwamena, F. (Felix). (2017). Posture sensing using a low-cost temperature sensor array. In 2017 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2017 - Proceedings (pp. 443–447). doi:10.1109/MeMeA.2017.7985917