Automatic Rock Climbing Route Inference Using Wearables

Publication Date
September 9 2015
Avinash Kalyanaraman (creator)
Juhi Ranjan (creator)
Kamin Whitehouse (creator)
University Of Virginia (contributor)
Media Type
Journal Article
Persuasive Intent
Rock climbing is a relatively new, but highly popular sport. In the current state of the art, there is no technology that can record climbing routes and statistics about a climber’s exercises. Taking photographs of routes is the state of art method of sharing descriptions of climbing routes with other climbing enthusiasts. We propose to automatically track climbing routes using wearable devices placed on the hands and feet of a climber. Each wearable device has an IMU sensor and a barometer on it. In addition, the devices on the hands have EMG sensors on them. The combination of these sensors can detect when a person makes contact with a hold, and the relative position of the hold contacted with respect to the current hold, and the type of hold. A map of the route, including annotations of the hand hold and foot holds used by the climber, can be inferred by performing dead reckoning based navigation for each of the devices.
HCI Platform
Discursive Type
Location on Body
Hand, Feet
Marketing Keywords
University Of Virginia , Myo

How to cite this entry
Avinash Kalyanaraman, Juhi Ranjan, Kamin Whitehouse. (September 9 2015). "Automatic Rock Climbing Route Inference Using Wearables ". 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication (UbiComp/ISWC 2015 Adjunct). International Joint Conference On Pervasive And Ubiquitous Computing Adjunct Publication. Fabric of Digital Life.