Review of gesture recognition technique using cloud-assisted wearable devices for real-time healthcare

with the development of technology, the use of robotic assemblies is increasing in different sectors including healthcare. In accurate surgeries, early and effective diagnosis, robots are becoming crucial for healthcare workers. However, one of the major challenges in the healthcare sector is the interaction complexity that restricts the use of robotic assemblies. The complexity in interaction with these assemblies does not allow their effective use and this is a major challenge in the smart healthcare system. The expertise requirements to operate such a complex system in the medical domain create additional challenges. Also, the collection of real-time healthcare data with accuracy is challenging with the available techniques. Therefore, in order to overcome these challenges, a system is developed in this research that uses cloud-assisted wearable devices to recognise gestures and help healthcare system in real time. This reduces the interaction complexity with the robotic assemblies in the healthcare system by providing effective control over these assemblies and automation through recognised gestures. Classification of the developed system is given in the research as components ‘SGR’ and the system is developed based on the review of current techniques, and further evaluated, validated, and verified. This will be of great help in the medical domain reducing the interaction challenges and helping in real-time monitoring and diagnosis in the medical field.