I need sypnosis for the project named "remote control tilting handicapped wheelchair" . Provide me with detailed synopsis so I can work on futher project . Hope you will help me with this . Thank you.
Increasing human-machine interactions in our everyday lives has made the UI technology progressively more important. Physical gestures as intuitive expressions will greatly facilitate the process of interaction and allow humans to order computers or machines more naturally. For example, in robotic telegraphy, it has been shown that slave robots follow manual movements of the remote teacher. Other applications proposed to recognize hand gestures include character recognition in three-dimensional space using inertial sensors, gesture recognition to control a television remotely, enabling a hand as a three-dimensional mouse and use of hand gestures as a control mechanism in virtual reality. In today's fast-paced world, everyone is busy and there are fewer people caring for the growing number of older people and people with physical disabilities. Also these people find it difficult to even navigate inside the house without external aids. Older people find automated wheelchairs as an easy form of locomotion. Having known these facts, our goal was to bring an automated control system that can be used by both the elderly and the physically disabled in an easy-to-use manner with hand gestures for operation. In the biomedical sector, a wheelchair is an important device due to the recent change in industrial populations. Demand for the physically disabled and the elderly is increasing. The current wheelchairs do not have integration of technologies for their operation. Either it requires constant supervision by the helper or, therefore, much effort. Traditional wheelchairs have some limitations in the context of flexibility, volume and limited functions. Recent developments in artificial intelligence of robotics or sensor technology promises huge scope to develop an advanced wheelchair. Some existing wheelchairs are equipped with PC for gesture recognition or voice recognition. But making use of the PC along with the chair makes it bulky and increases the complexity. This complexity is reduced by using the MEMS accelerometer because it is very compact and can be placed on the tips of the patients' fingers. And other systems, which rely on the same technique and the use of similar type of sensors are wired, which increases the complexity of the system. They also limit long-range communication. This complexity is eliminated using high-frequency RF transmission. Our approach allows users to use human motion gestures such as hands and synchronize them with the movement of the wheelchair so that they can use it comfortably and easily in all types of terrain without the obstacle or cardiovascular problems or fatigue. In this project we are trying to include some sensors to develop an automated wheelchair that can help the patient to control the direction of the wheelchair based on the gesture.