Abstract
Gesture can be originated from any bodily motion of state that commonly originated from the face or hand. Current focuses on the field include emotion recognition of the face and hand gesture recognition. In gesture recognition, the human body's motions are read by the sensors and the captured data is sent to the web application. The web application then makes use of this data as input to handle the home appliances or devices. Gesture recognition may also be referred as gesture control. Hand gestures constitute a powerful inter-human communication methodology; they can be considered as an intuitive and convenient mean for the communication between humans and machines. Gesture recognition helps computers to understand human body language. Apart from the gestures, it also consists of health monitoring sensors. This will help in monitoring the health of the patient. This helps to build a more potent link between humans and machines, rather than just the basic text user interfaces or graphical user interfaces (GUIs). These devices can ease the lives of many disabled people, particularly those with severe impairments, by increasing their range of mobility.
Keywords
Gesture recognition, Hand gesture, Sensors, GUI, Arduino, Human computer interaction, Health monitoring
Citations
IRE Journals:
Biji Rose , Ananthapadmanabhan A , Sornamugi V , Varshini S
"Iot Based Home Automation And Health Monitoring System For Physically Challenged" Iconic Research And Engineering Journals Volume 2 Issue 10 2019 Page 317-320
IEEE:
Biji Rose , Ananthapadmanabhan A , Sornamugi V , Varshini S
"Iot Based Home Automation And Health Monitoring System For Physically Challenged" Iconic Research And Engineering Journals, 2(10)
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