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 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 climbing rope to the bolt anchors. The corresponding sensors are configured to be energy-efficient, hence become practical in terms of expenses and time consumption for replacement when using in large quantity in a climbing gym. This paper describes hardware specifications, studies data measured by the sensors in ultra-low power mode, detect sensors' orientation patterns during lowering different routes, and develop an supervised approach to identify lowering.

翻译：追踪攀岩者活动以提升服务并优化设施利用，是攀岩馆关注的问题。每次攀爬过程需从开始直至下降进行全程分析。因此，识别攀岩者下降动作至关重要，因其标志着攀爬的结束。该问题需在保护攀岩者隐私与便利性，并控制场馆成本的前提下解决。为此，我们开发了一种硬件原型，通过安装在攀岩装备“快挂”（连接攀岩绳与螺栓锚点的墙面固定装置）上的加速度计传感器采集数据。传感器被配置为低能耗模式，从而在大规模部署于攀岩馆时，降低更换成本与时间消耗。本文描述了硬件规格，研究超低功耗模式下传感器的测量数据，检测不同路线下降过程中的传感器朝向模式，并开发了一种监督式方法来识别下降动作。