Human Activity Recognition from Sensor data using Random Forest Algorithm
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Abstract
The advancement of technologies have facilitated the monitoring of human activities through the embedded sensors in a smartphone. Since the smartphone is very common with the public, it has paved way for the researchers to work on activity recognition systems. In this work, we propose a system to recognize the basic activities of an individual. For this publicly available dataset was used. The data collected from the sensors are used to predict the activities. The proposed system obtained the highest accuracy of 99.6%. This system is implemented on R programming using Random Forest algorithm.
Keywords: Human Activity Recognition, Sensor, Random Forest
Keywords: Human Activity Recognition, Sensor, Random Forest
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