Cloud-based Real-time and Remote Human Activity Recognition System using Wearable Sensors | IEEE Conference Publication | IEEE Xplore

Cloud-based Real-time and Remote Human Activity Recognition System using Wearable Sensors


Abstract:

In this paper, we propose a cloud-based real-time human activity recognition system. First, we develop a wearable system that contains an Accelerometer sensor, an analog ...Show More

Abstract:

In this paper, we propose a cloud-based real-time human activity recognition system. First, we develop a wearable system that contains an Accelerometer sensor, an analog to digital converter and a WiFi module in order to sense human movement data and transmit the sensed data to cloud. Then we apply Machine Learning algorithm to classify different human activities. The proposed system is able to achieve an average of 93% accuracy in classifying the different activities efficiently.
Date of Conference: 28-30 September 2020
Date Added to IEEE Xplore: 23 November 2020
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Conference Location: Taoyuan, Taiwan

References

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