Climbing Routes Clustering Using Energy-Efficient Accelerometers Attached to the Quickdraws

arXiv:2211.02680v2 Announce Type: replace-cross
Abstract: One of the challenges for climbing gyms is to find out popular routes for the climbers to improve their services and optimally use their infrastructure. This problem must be addressed preserving both the privacy and convenience of the climbers and the costs of the gyms. To this aim, a hardware prototype is developed to collect data using accelerometer sensors attached to a piece of climbing equipment mounted on the wall, called quickdraw, that connects the …

abstract arxiv challenges clustering costs cs.ai cs.lg eess.sp energy infrastructure popular privacy routes services type