The analysis of a microwave sensor signal for detecting a kick gesture

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dc.contributor.authorChawuthai, Rathachai
dc.contributor.authorSakdanuphab, Rachsak
dc.date.accessioned2026-08-06T10:20:55Z
dc.date.available2026-08-06T10:20:55Z
dc.date.issued2018-08-13
dc.description.abstractA hands-free operation is a solution for people who require a hand to do an action but both right and left hands are busy carrying something. There are many techniques, and most of them use sensors to check a command from humans such as voice and movement. A kick gesture is one technique that people can kick into the air to invoke an operation of a target device such as a kick-activation liftgate of a car. In this paper, we use a microwave sensor to detect the movement of a human's foot and employ machine learning techniques to analyses the sensor data. It has found that the Logistic Regression technique provides the best accuracy, and the model can be simply programmed in an embedded system.
dc.identifier.citationIceast 2018 4th International Conference on Engineering Applied Sciences and Technology Exploring Innovative Solutions for Smart Society, 2018
dc.identifier.doi10.1109/ICEAST.2018.8434455
dc.identifier.other2-s2.0-85053136471
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/8845
dc.sourceIceast 2018 4th International Conference on Engineering Applied Sciences and Technology Exploring Innovative Solutions for Smart Society
dc.subjectData Analysis
dc.subjectInternet of Things
dc.subjectKick Activation
dc.subjectMicrowave Sensor
dc.subjectSignal Processing
dc.titleThe analysis of a microwave sensor signal for detecting a kick gesture
dc.typeConference Paper

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