title: A preliminary study of using wireless kinematic sensors to identify basic Activities of Daily Living.
abstract: The objective of this on-going work is to evaluate the accuracy and reliability of wireless kinematic sensors in identifying basic Activities of Daily Living (ADL). A preliminary trial was conducted consisting of 5 subjects; 3 male (mean: 23.6, SD: 2.41). Four kinematic sensors were placed on a subject; (a) mid-sternum, (b) underneath the left armpit, (c) above the right hip and (d) the ankle of the dominant leg. A fifth sensor, the activPAL Trio was attached to a subject on the thigh of the non-dominant leg. Each subject initially performed a range of basic activities in a controlled laboratory setting. Subjects were then asked to carry out similar self-annotated activities in a random order and in an unsupervised environment.Using 10-fold cross validation the decision tree algorithm C4.5 was employed to detect the ADL's. Several configurations of sensor placement were compared. The combination of sensors placed on the ankle and hip had the highest recognition rate of 81.2%. Single sensor placement was also compared with the ankle of the dominant leg having the highest recognition rate of 77.4%.
authors.affiliation: Department of Electronic Engineering, National University of Ireland, Galway, Ireland. anthony.f.dalton@gmail.com
authors.forename: Anthony F
authors.initials: AF
authors.lastname: Dalton
authors.forename: Fearghal
authors.initials: F
authors.lastname: Morgan
authors.forename: Gearoid
authors.initials: G
authors.lastname: Olaighin
mesh_terms: D000203:Activities of Daily Living; D000465:Algorithms; D001696:Biomechanical Phenomena; D003195:Computer Communication Networks; D004867:Equipment Design; D005260:Female; D006801:Humans; D008297:Male; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D009043:Motor Activity; D010363:Pattern Recognition, Automated / Q000379:methods*; D012984:Software