Sensor-based and VR-Assisted visual training enhances visuomotor reaction metrics in youth handball players
(Sensorbasiertes und VR-gestütztes Sehtraining verbessert die visuomotorischen Reaktionsparameter bei jugendlichen Handballspielern)
Background: Sensor-based systems and virtual reality (VR) technologies provide new opportunities for the objective, technology-driven assessment and training of visuomotor performance in applied contexts such as sport. Methods: This study examined the effects of an integrated visual training program combining stroboscopic stimulation, VR-based vergence exercises, and instrumented reaction-light tasks in adolescent handball players. Twenty-eight adolescent handball players (under-18 competitive level) completed two baseline assessments separated by six weeks, followed by a six-session training program (approximately 15 min per session) integrated into regular team practice. The intervention targeted visuomotor reaction speed, accommodative dynamics, and peripheral visual responsiveness using sensor-based and virtual reality-assisted stimuli. Results: Compared with both baseline measurements, the intervention produced selective improvements in accommodative facility (cycles per minute, cpm)—particularly near-far focusing speed—and in multiple reaction-time conditions (milliseconds, ms) involving manual and decision-based responses. Specific peripheral-field locations showed increased response scores, whereas binocular alignment, AC/A ratio, near phoria, and stereoscopic acuity remained unchanged. Conclusions: These findings indicate that technology-supported visual training protocols incorporating sensor-based reaction systems and VR stimuli were associated with measurable adaptations in dynamic visuomotor processing while preserving fundamental binocular vision parameters.
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| Notationen: | Trainingswissenschaft |
| Veröffentlicht in: | Sensors |
| Sprache: | Englisch |
| Veröffentlicht: |
2026
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| Jahrgang: | 26 |
| Heft: | 8 |
| Seiten: | 2555 |
| Dokumentenarten: | Artikel |
| Level: | hoch |