Artificial Intelligence in Agriculture (Jan 2020)
An integrated foot transducer and data logging system for dynamic assessment of lower limb exerted forces during agricultural machinery operations
Abstract
Agricultural machinery typically requires lower limb actuation forces for operations such as treadling, pedaling and tractor based. However, limited systems exist for assessment of such forces that have ergonomic influence. This study, therefore developed and evaluated a single board computer integrated foot transducer (IFT) and autonomous data logging and visualization system to monitor dynamic lower limb exerted forces. The system consists of custom developed load sensors sandwiched into foot shaped units that fit operator's both feet. Stamped forces at crank angles for operations typical to pedaling while at height (above ground level) for operation representing typical treadling operations were recorded on-board a memory card and displayed on a liquid crystal display. Evaluations were conducted by imposing external loads that significantly increased (p < 0.05) the foot exerted forces. Force trends were periodic with peaks of 73, 85, 110.5 and 145.4 N for left foot and 41, 50, 131.7 and 145.4 N for right foot at loads of 10, 30, 50 and 70 N, respectively during pedaling operations. Similarly, the left lower actuation limb exerted forces of 139, 249 and 255 N at 5, 10 and 15 N of imposed loads, respectively during treadling operation. System was also evaluated for tractor operations and exerted forces ranged from 92 to 164 and 107–176 N for clutch pedal engagement at lower to higher tractor speeds on farm and tarmacadam roads, respectively. Similarly, for brake pedal engagement, such forces ranged from 106 to 173 and 120–204 N on farm and tarmacadam roads. These forces varied significantly at different forward speeds. Results suggest potential of such system for foot exerted force assessments typical to agricultural machinery systems in real field. Designs may be evaluated or reconsidered to minimize musculoskeletal disorder risks during prolonged operations. Work-rest schedules protocols can be developed by ergonomists for safe, efficient and comfortable operations.
