Optimization of HOTAS Joystick Design Based on Virtual Simulation
Source abstract
Abstract
To address the lack of effective ergonomic evaluation methods for HOTAS (Hands-On Throttle And Stick) control sticks in dynamic operation scenarios, this study proposes a virtual hand motion data acquisition system based on Unreal Engine 5, combined with Leap Motion tracking technology. This system captures and records hand movements and interaction processes in real time, providing key quantitative indicators such as movement trajectories, operation durations, and key positioning deviations. Through four-stage HOTAS task experiments, the efficiency and accuracy differences of various operation types are quantitatively analyzed to provide data-driven support for the ergonomic optimization of HOTAS control rods. The experimental results verify the effectiveness of the system for dynamic human factors evaluation, and it is expected to serve as a preliminary virtual evaluation tool for the ergonomic optimization of HOTAS.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Ergonomics and Musculoskeletal Disorders · Motor Control and Adaptation · Ergonomics and Human Factors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering, Sichuan University, Chengdu 610065, China
Independent Researcher, Chengdu 610000, China
National Key Laboratory of Digital and Agile Aircraft Design, AVIC Chengdu Aircraft Design and Research Institute, Chengdu 610000, China
Funding
Provincial Science and Technology Project of Sichuan, China
References (50)
Show source-provided references
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