Unified framework for triaxial accelerometer-based fall event detection and classification using cumulants and hierarchical decision tree classifier.
第一单位:
School of Electrical Sciences , Indian Institute of Technology Bhubaneswar , Bhubaneswar, Odisha 751013 , India.
作者:
关键词
ACC signalsSVM classifiersacceleration measurementacceleration signalsaccelerometersbiomedical measurementbody sensor networkscumulant extractiondecision treesfall event classification algorithmfeature extractionfifth-order cumulantsfourth-order cumulantshierarchical decision tree classifierhuman activity classificationlowest false alarm ratemedical signal processingmultilayer perceptronnaive Bayesoptimal detectionsecond-order cumulantssignal classificationsingle waist-mounted triaxial accelerometersupport vector machinessupports vector machinethird-order cumulantstime-domain featurestriaxial accelerometer-based fall event detection
DOI
10.1049/htl.2015.0018
PMID
26609414
发布时间
2020-09-29
- 浏览13
Healthcare technology letters
2015年2卷4期
101-7页
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