Sensor-Based and VR-Assisted Visual Training Enhances Visuomotor Reaction Metrics in Youth Handball Players

Area of Science:

• Sports Science
• Human Performance
• Vision Science

Background:

• Sensor-based systems and virtual reality (VR) offer novel methods for objective, technology-driven assessment and training of visuomotor performance.
• Applied contexts, such as sports, can benefit from these advanced technological approaches.

Purpose of the Study:

• To investigate the effects of an integrated visual training program on visuomotor performance in adolescent handball players.
• The program combined stroboscopic stimulation, VR-based vergence exercises, and instrumented reaction-light tasks.

Main Methods:

• Twenty-eight adolescent handball players underwent two baseline assessments.
• A six-session training program (approx. 15 min/session) was integrated into regular practice.
• Intervention targeted visuomotor reaction speed, accommodative dynamics, and peripheral visual responsiveness using sensor-based and VR stimuli.

Main Results:

• Significant improvements were observed in accommodative facility, particularly near-far focusing speed.
• Multiple reaction-time conditions showed enhanced performance (manual and decision-based responses).
• Peripheral visual field locations demonstrated increased response scores; binocular vision parameters remained stable.

Conclusions:

• Technology-supported visual training, using sensor systems and VR, effectively enhances dynamic visuomotor processing.
• These protocols lead to measurable adaptations in visual performance while maintaining fundamental binocular vision parameters.