Published 2013
“…From the comprehensive experimental evaluations on data sets for 12 people, we confirm that our proposed person specific fall detection system can achieve excellent fall detection performance with 100% fall detection rate and only 3% false detection rate with the
optimally tuned parameters. This work is a semi-unsupervised fall detection system from a system perspective because although an unsupervised type
algorithm (OCSVM) is applied, human intervention is needed for segmenting and selecting of video clips containing normal postures. …”
Get full text
Default
Article