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Tracking user information using motion data through smartphones | IEEE Conference Publication | IEEE Xplore

Tracking user information using motion data through smartphones


Abstract:

In this paper, we use smartphone motion sensors and user basic activities as new source of information to detect and measure some dynamic information of user such as age ...Show More

Abstract:

In this paper, we use smartphone motion sensors and user basic activities as new source of information to detect and measure some dynamic information of user such as age group, footwear type and the floor surface types, which are important information in human sensing tasks and applications for healthcare, marketing, recommender system and etc. A random forest classifier was used to classify 262features extracted from smart phone accelero-meter and gyroscope sensors' data. Empirical evaluation was performed on a large-scale dataset containing 510 subjects and more than 111470 activities files. The results show that we can achieve accuracies of more than 85%, 92.5% and 95% for the detection of user's age, footwear types and floor surface type respectively.
Date of Conference: 01-04 October 2017
Date Added to IEEE Xplore: 01 February 2018
ISBN Information:
Electronic ISSN: 2474-9699
Conference Location: Denver, CO, USA

References

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