Automatic Individual Calibration in Fall Detection - An Integrative Ambulatory Measurement Framework
The objective of the current study was to demonstrate the utility of a new integrative ambulatory measurement (IAM) framework by developing and evaluating an individual calibration function in fall detection application. Ten healthy elderly were involved in a laboratory study and tested in a protocol composed of various types of activities of daily living (ADLs) and slip-induced backward falls. Inertial measurement units attached to the trunk and thigh segments were used to measure trunk angular kinematics and thigh accelerations. The effect of individual calibration was evaluated with previously developed fall detection algorithm. The results indicated that with individual calibration, the fall detection performance achieved approximately same level of sensitivity (100% vs. 100%) and specificity (95.25% vs. 95.65%), however, response time was significantly lower than without (249ms vs. 255ms). It was concluded that the automatic individual calibration using the IAM framework improves the performance of fall detection, which has a greater implication in preventing/minimizing injuries associated with fall accidents.
Liu, J., & Lockhart, T. E. (2013). Automatic individual calibration in fall detection - an integrative ambulatory measurement framework. Computer Methods in Biomechanics and Biomedical Engineering, 16(5), 504-510. doi:10.1080/10255842.2011.627329