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. 2023 May 25;23(11):5080. doi: 10.3390/s23115080

Table 3.

Climbing performance metrics based on parameters derived from sensor measurements.

Climbing Skill/
Performance Metric
Sensor-Derived Parameter Body Movement Sensor (Location) Respiration Sensor Heart Sensor Eye Gazing Sensor Skeletal Muscle Sensor External Scene Camera Hold-Embedded Force Sensor Reference
Recovery rate during rest/climb patterns Spatial variations in heart rate, systemic oxygen uptake ACC (hip) BR, MV HR - - Yes - [14]
Climbing fluidity Jerk coefficient, immobility, geometric index of entropy ACC (hip), IMU (hip, legs, forearms) - - - - - - [5,12,36,37,38,39]
Time spent at different climbing states Resting/ascending ratio, body orientations ACC (hip), IMU (hip) - - - - Yes - [19,21,40]
Load distribution along climbing path Location of center of mass - - - - - Yes Yes [41]
Perceived exertion Breathing rate, breathing depth - BR, MV - - - - - [9,42]
Climbing economy, aerobic energy demand Systemic oxygen consumption - MV - - - - - [24]
Cardiac modulation of nervous system Heart rate variability - - ECG - - - - [57]
Time spent at different gaze behavior states during climbing Exploring ahead versus maintaining focus - - - Gaze behavior - - - [8]
Route previewing strategy and skill Identify visual strategies: ascending, fragmentary, zigzagging, sequence-of-blocks - - - Gaze behavior - - - [32]
Forearm muscle endurance, fatigue Local muscle oxygenation, muscle activation - - - - NIRS, EMG (forearm) - - [11,48,58,59]

BR breathing rate, MV minute ventilation, HR heart rate, ECG electrocardiogram, ACC accelerometer, IMU inertial measurement unit, EMG electromyography, NIRS near-infrared spectroscopy.