Survey On Past and Current Trends in Applying Deep Learning Models in Estimating Human Behaviour

–In recent times application based on computer vision are widely used in many fields starting from lifesaving medical devices to home entertainment systems. One of the challenging problems in it is human behaviour estimation. This process of human behaviour prediction systems requires multiple technology integration. Hence it become more important to narrate out the past and the current trends used in human behaviour predictions. This article briefs out the major steps used in the detection process, a literature survey on various contributions and techniques used by different researchers in different period of time and the dataset used by them in training and testing the system. All the systems are compared and the pros and cons were analysed in detail and the research gaps were also discussed. The application of human behaviour estimation extends in various platforms and one of it being the monitoring the use of mobile phones, which are becoming a serious issue in recent times.