all AI news
Lowering Detection in Sport Climbing Based on Orientation of the Sensor Enhanced Quickdraw
March 14, 2024, 4:43 a.m. | Sadaf Moaveninejad, Andrea Janes, Camillo Porcaro
cs.LG updates on arXiv.org arxiv.org
Abstract: Tracking climbers' activity to improve services and make the best use of their infrastructure is a concern for climbing gyms. Each climbing session must be analyzed from beginning till lowering of the climber. Therefore, spotting the climbers descending is crucial since it indicates when the ascent has come to an end. This problem must be addressed while preserving privacy and convenience of the climbers and the costs of the gyms. To this aim, a hardware …
abstract arxiv cs.ai cs.lg cs.ro detection eess.sp infrastructure sensor services session sport tracking type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Sr. VBI Developer II
@ Atos | Texas, US, 75093
Wealth Management - Data Analytics Intern/Co-op Fall 2024
@ Scotiabank | Toronto, ON, CA