Overview / Usage

Human behavior based on its movement has become important in prediction of the various activities performed by an individual in smart environments. In Activity recognition, we need to recognize the individual’s current activities. We are planning to model for human activity recognition using sensor data. For sensor data, we are planning on three modules each comprising of PIR, PING and LIGHT sensors. All these sensors will give us different sensor values of the people activities happening in the lab. We are planning to use this data to recognize the human activities and predict / forecast the activities to save energy.