Human Activity Recognition using Deep Learning Techniques

Human Activity Recognition using with new technologies and upcoming advancements such as deep learning techniques has emerged positive and improved results. With deep learning various enhancement has been shown in HAR. These HAR based systems are very useful in healthcare sector, smart homes and security purposes also. With the help of IoT devices, wearable devices using sensors the human activities such as walking, sitting, lying can be easily measured and diagnosed which lead to easily access the required information for identification and classification purpose. Using the techniques of deep learning and algorithms such as LSTM and CNN has emerged as advanced version in HAR and helpful for various performance increment like high accuracy, Precision etc.