Surgeon's Helping Hand uses hand recognition to remotely control a robot hand over the internet. This allows surgeons to remotely perform surgeries in places such as third world countries, where there is a limited amount of doctors for a large amount of people.
Surgeon's Helping Hand consists of three components. The first is a Leap Motion which records the hand motion and movements of the surgeon in real time, and sends that data to the remote hand, which mimics the surgeon's gestures. The second part is a web interface that allows the surgeon to enter in the degree at which they wish to move each individual finger, which allows for much more precise procedures. The third part is a facial recognition software that allows the surgeon to position the view of the surgery.
Sample Movements Video: https://drive.google.com/open?id=1T6oB8Am38j_3UkCnKjlaCSqlbTjsqMdl
Download repo leapjs at https://github.com/leapmotion/leapjs
Download Leap Motion SDK from https://developer.leapmotion.com/get-started (Orion Beta)
Run Sample2.0.html for data display