Title :
Expressiveness of time domain features for detectingdifferent types of human movements
Author :
Rybina, Kateryna ; Ternovoy, Maksym ; Dargie, Waltenegus
Author_Institution :
Dept. of Inf.-Telecommun. Networks, Nat. Tech. Univ. Of Ukraine "Kyiv Polytech. Inst.", Kiev, Ukraine
Abstract :
The usage of wireless activity recognition systems is significant in many applications. The aim of this paper is to show the expressive power of time domain features based on the case study of correlation coefficient feature for detection of the following types of movement: hopping, running, jumping, balancing and skipping. Time domain analyses were applied to acceleration data and a confusion matrix was established as movement classification method.
Keywords :
correlation methods; feature extraction; image recognition; time-domain analysis; balancing; confusion matrix; correlation coefficient feature; hopping; human movement classification method; human movements detection; jumping; running; skipping; time domain features; wireless activity recognition systems; Acceleration; Accelerometers; Biomedical monitoring; Computer networks; Computer science; Computer vision; Conferences; Time domain analysis; Time measurement; Training data; Confusion matrix; Test data; Time domain feature analyses; Training data;
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010 International Conference on
Conference_Location :
Lviv-Slavske
Print_ISBN :
978-966-553-875-2
Electronic_ISBN :
978-966-553-901-8
