Smartwatch based tumble recognition — A data mining model comparision study | IEEE Conference Publication | IEEE Xplore

Smartwatch based tumble recognition — A data mining model comparision study


Abstract:

Tumbles are one of the key risk factors for elderly people. Studies have shown ([1]) that one third of all elderly above 65 tumble at least once a year with all its healt...Show More

Abstract:

Tumbles are one of the key risk factors for elderly people. Studies have shown ([1]) that one third of all elderly above 65 tumble at least once a year with all its health related problems. In this study we present first a method for detecting tumbles using smartwatch sensor data and second evaluate various data mining models. The goal of this analysis is to find the most effective method for detecting tumbles in real time. We have compared nine different data mining models. Our investigations based on data collected from different ADLs and EDLs with a smartwatch show that three models have a comparable high recognition factor: neural nets, logistic regression and linear discriminant analysis while other methods perform less.
Date of Conference: 14-16 September 2016
Date Added to IEEE Xplore: 21 November 2016
ISBN Information:
Conference Location: Munich, Germany

References

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