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Cognitive Training Method to Learn Rock Climbing Grading System

IP.com Disclosure Number: IPCOM000249301D
Publication Date: 2017-Feb-16
Document File: 2 page(s) / 99K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are a method and cognitive system to standardize rock climb grades across all indoor and outdoor routes across the world by learning from a centralized database of graded routes and additional climbing expert feedback.

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Cognitive Training Method to Learn Rock Climbing Grading System

The sport of rock climbing is increasing in popularity and interest; however, related structures and systems for climbing, training, identifying climbing locations, etc. remain manual. The industry can benefit from available technology and automation, especially in the area of grading systems for rock climbing. Currently, multiple standardized systems exist, but true standardization of all climbs across all locations is difficult due to the possibility of human error, differences in ability levels, and relative experiences of climbing experts.

The novel contribution is a method and cognitive system to standardize rock climb grades across all indoor and outdoor routes across the world by learning from a centralized database of graded routes and additional climbing expert feedback.

The cognitive system learns from a data set of images of existing rock climbing holds and routes. The system collects details about the established grades on routes, types of holds, distances between holds, angle of the wall the routes follow, and lengths of the routes. The system can then review new routes without a grade and accurately define the grade for the route.

Figure: Method and system components and high-level process

As shown in the figure, the system has two data sources: 1. Data Source 1: Large data collection of pictures of rock climbing holds, with data

about each hold (e.g., type, size, difficulty, etc.) 2. Data Source...