Recognition of daily routines and accidental event with multipoint wearable inertial sensing for seniors home care
Lei Jing, Zixue Cheng · 2017
Human Activity Recognition (HAR) is a critical technology for seniors home care. In this paper, we present the system implementation and experimental study on detection of both of the daily activities and accidental event (Fall Down) with multiple inertial sensors on body. The overall accuracy are 94.3% on recognition of 10 kinds of daily activities with kNN in user-independent evaluation. Moreover, the experiment shows that the combination of multiple sensors on different locations of upper, middle, lower body parts can improve both of the accuracy and stability (one node: 78.1%±8.0%, two nodes: 90.8%±4.7%, and three nodes are 94.3%±4.4%). Finally, we investigate the detection of fall down from the other ten daily activities. The accuracy is 87.5% with mean and standard deviation as the features, and improved to 100% with energy as the additional feature.