摘要：Smart phones are becoming more sophisticated and consist of many sensors. GPS, vision, audio, light, temperature, direction, and acceleration sensors are few. In smart phones, sensors make human activity recognition better and easier. Accelerometer and Gyroscope are available in most of the smart phones and made data collection easy. In this work twelve different statistical measures are extracted as a feature from the raw data collected by these sensors. LDA and KNN classifiers are used to classify the activity
