Journal ArticleUnknown
Gender Recognition by Monitoring Walking Patterns via Smartwatch Sensors
Authors
Author Affiliations
University of Asia Pacific, Virginia Tech, University of Aizu
Published In2019 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)
Year2019
Citations15
Abstract
Activity-based computing aims to monitor the physical state of a user by sending continuous signals through sensors attached to the subject's body. This research field is becoming very important with the increasing number of smart devices. The sensors embedded in these smart devices can be used to monitor user's activities. There has been significant work recognizing human activities. But in this paper, we propose a system to recognize the gender of the subject by monitoring the walking pattern. To capture the walking pattern of the subject, a smart watch was attached to the subject's wrist, while accelerometer and gyroscope signals was recorded at a fixed interval. After preprocessing the raw data, an artificial neural network was used to classify the…
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Fields & Keywords
Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionContext-Aware Activity Recognition SystemsIoT-based Smart Home SystemsIoT and Edge/Fog ComputingArtificial intelligenceReal-time computingHuman–computer interactionEmbedded systemOperating systemAerospace engineeringPure mathematics