Effects of selective sensory-feedback absence on reach-to-grasp kinematics in virtual reality

OBJECTIVES: We investigated spatiotemporal kinematics of reach-to-grasp movements in virtual environments (VEs) with different sensory feedback and compared them with natural prehension in a physical environment. Aim determined how combinations of haptic and visual feedback influence performance in VR. METHODS: Participants performed reach-to-grasp tasks with objects of sizes placed at two distances under three conditions: physical environment with full sensory feedback, VE with haptic feedback but no hand vision, and VE with hand vision but no haptic feedback. Hand movements were tracked using HTC Vive and Leap Motion, with kinematic recording from Optotrak. Variables analyzed included peak reaching velocity, movement time, deceleration time, and grip aperture. RESULTS: Movements in virtual environments showed lower and earlier peak velocities, longer movement and deceleration times, and larger grip apertures than the physical environment. VEs haptic feedback without vision produced wider grip apertures than vision without haptics. Despite these differences, coordination between reaching and grasping components remained consistent with natural prehension patterns. CONCLUSIONS: This study provides insights into the trade-offs between visual and haptic sensory feedback in VR-based prehension. It highlights the importance of sensory integration for effective reach-to-grasp performance and offers guidance for the design of virtual reality systems and experimental protocols investigating motor control.

Authors

Institutions

Publication Details

Journal
Biomedizinische Technik/Biomedical Engineering
Published
2026-09-11
DOI
https://doi.org/10.1515/bmt-2026-0295
Primary Topic
Motor Control and Adaptation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Effects of selective sensory-feedback absence on reach-to-grasp kinematics in virtual reality

Muhammad Awais Hafeez, Asim Ghaffar, Mark Mon-Williams, Raymond Holt et al.
Biomedizinische Technik/Biomedical Engineering
Motor Control and Adaptation
article

Effects of selective sensory-feedback absence on reach-to-grasp kinematics in virtual reality

Muhammad Awais Hafeez, Asim Ghaffar, Mark Mon-Williams, Raymond Holt, Rachel Coats, Tayyaba Roshni
article en

Abstract

OBJECTIVES: We investigated spatiotemporal kinematics of reach-to-grasp movements in virtual environments (VEs) with different sensory feedback and compared them with natural prehension in a physical environment. Aim determined how combinations of haptic and visual feedback influence performance in VR. METHODS: Participants performed reach-to-grasp tasks with objects of sizes placed at two distances under three conditions: physical environment with full sensory feedback, VE with haptic feedback but no hand vision, and VE with hand vision but no haptic feedback. Hand movements were tracked using HTC Vive and Leap Motion, with kinematic recording from Optotrak. Variables analyzed included peak reaching velocity, movement time, deceleration time, and grip aperture. RESULTS: Movements in virtual environments showed lower and earlier peak velocities, longer movement and deceleration times, and larger grip apertures than the physical environment. VEs haptic feedback without vision produced wider grip apertures than vision without haptics. Despite these differences, coordination between reaching and grasping components remained consistent with natural prehension patterns. CONCLUSIONS: This study provides insights into the trade-offs between visual and haptic sensory feedback in VR-based prehension. It highlights the importance of sensory integration for effective reach-to-grasp performance and offers guidance for the design of virtual reality systems and experimental protocols investigating motor control.

Biomedizinische Technik/Biomedical Engineering
University of Leeds (GB), University of Engineering and Technology Lahore (PK), Punjab Medical College (PK), University of Faisalabad (PK)
Openalex Percentile: Top 9%
Motor Control and Adaptation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Effects of selective sensory-feedback absence on reach-to-grasp kinematics in virtual reality — Muhammad Awais Hafeez, Asim Ghaffar, et al. · Biomedizinische Technik/Biomedical Engineering (2026) | TGRS Research Map | TGRS