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Efficient activity classification from motion inputs
专利权人:
发明人:
J. Hunter Downs,Nathan Ronald Kowahl,Fahrettin Olcay Cirit,William James Robinson,Richard Moffitt Cowan
申请号:
US14148678
公开号:
US09398867B2
申请日:
2014.01.06
申请国别(地区):
US
年份:
2016
代理人:
摘要:
A device worn by a human performing a method using accelerometer data to classify human activities is disclosed. The method uses memory and computation efficiently. A stream of samples is divided into a sequence of sampling periods each sample has an acceleration value for each axis (e.g., a 3-D accelerometer). Standard deviation of the values for each axis during each sampling period are calculated. A running sum of each axis values can be maintained sample-by-sample. Each value is sorted into a bin of a histogram, by quantifying a deviance from a respective mean in standard deviations. A standard deviation produced from samples of a previous period can be used. The histogram is compared with histograms associated with particular activities and a classification output can be produced. Classification outputs from multiple sampling periods can be used for voting. A threshold amount of activity can be required to begin activity classification.
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