Virtual Gymnasium: Personalized Weight Perception Interface in Lifting Virtual Objects
This paper proposes a pseudo-haptic interface that depicts the virtual weights of dumbbells in a virtual gymnasium. When a user performs a dumbbell biceps curl, he/she fixes the elbow joint as a standard joint and lifts the dumbbell, with its movement trajectory represented as a circular arc. The tr...
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Format: | Article |
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MDPI AG
2022-12-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/12/23/12414 |
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author | Jun Lee Younggwang Lee Sungjun Park |
author_facet | Jun Lee Younggwang Lee Sungjun Park |
author_sort | Jun Lee |
collection | DOAJ |
description | This paper proposes a pseudo-haptic interface that depicts the virtual weights of dumbbells in a virtual gymnasium. When a user performs a dumbbell biceps curl, he/she fixes the elbow joint as a standard joint and lifts the dumbbell, with its movement trajectory represented as a circular arc. The trajectories and velocity of dumbbell bicep curls differ depending on human physiological characteristics. Therefore, the proposed system provides an adaptable exercise area and force visualization of virtual dumbbells using a velocity-based pseudo-haptic interface and computer vision-based tracking method. The system recognizes the position and rotation of joints related to a dumbbell biceps curl with the implementation of density-based spatial clustering of applications with noise (a clustering algorithm) and resizes the radius and angle of an integrated force circular gauge. Furthermore, when a user lifts a dumbbell, the system recognizes, using linear regression, the current position and lifting force of the virtual dumbbell and visualizes the current lifting force with a guided movement trajectory to match the lifting force. Experimental results show that the proposed pseudo-haptic interface increased weight perception and usability by up to 30% compared to conventional methods (<i>p</i> < 0.05). |
first_indexed | 2024-03-09T17:52:09Z |
format | Article |
id | doaj.art-3c91f4dc602d4e6595f03af79d702ed6 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-09T17:52:09Z |
publishDate | 2022-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-3c91f4dc602d4e6595f03af79d702ed62023-11-24T10:36:08ZengMDPI AGApplied Sciences2076-34172022-12-0112231241410.3390/app122312414Virtual Gymnasium: Personalized Weight Perception Interface in Lifting Virtual ObjectsJun Lee0Younggwang Lee1Sungjun Park2Department of Game Software, Hoseo University, Asan-si 31499, Republic of KoreaDepartment of Game Software, Hoseo University, Asan-si 31499, Republic of KoreaDepartment of Media Software, SungKyul University, Anyang-si 14097, Republic of KoreaThis paper proposes a pseudo-haptic interface that depicts the virtual weights of dumbbells in a virtual gymnasium. When a user performs a dumbbell biceps curl, he/she fixes the elbow joint as a standard joint and lifts the dumbbell, with its movement trajectory represented as a circular arc. The trajectories and velocity of dumbbell bicep curls differ depending on human physiological characteristics. Therefore, the proposed system provides an adaptable exercise area and force visualization of virtual dumbbells using a velocity-based pseudo-haptic interface and computer vision-based tracking method. The system recognizes the position and rotation of joints related to a dumbbell biceps curl with the implementation of density-based spatial clustering of applications with noise (a clustering algorithm) and resizes the radius and angle of an integrated force circular gauge. Furthermore, when a user lifts a dumbbell, the system recognizes, using linear regression, the current position and lifting force of the virtual dumbbell and visualizes the current lifting force with a guided movement trajectory to match the lifting force. Experimental results show that the proposed pseudo-haptic interface increased weight perception and usability by up to 30% compared to conventional methods (<i>p</i> < 0.05).https://www.mdpi.com/2076-3417/12/23/12414pseudo-haptic interfaceweight perceptionvirtual fitnessvirtual realityaugmented virtuality |
spellingShingle | Jun Lee Younggwang Lee Sungjun Park Virtual Gymnasium: Personalized Weight Perception Interface in Lifting Virtual Objects Applied Sciences pseudo-haptic interface weight perception virtual fitness virtual reality augmented virtuality |
title | Virtual Gymnasium: Personalized Weight Perception Interface in Lifting Virtual Objects |
title_full | Virtual Gymnasium: Personalized Weight Perception Interface in Lifting Virtual Objects |
title_fullStr | Virtual Gymnasium: Personalized Weight Perception Interface in Lifting Virtual Objects |
title_full_unstemmed | Virtual Gymnasium: Personalized Weight Perception Interface in Lifting Virtual Objects |
title_short | Virtual Gymnasium: Personalized Weight Perception Interface in Lifting Virtual Objects |
title_sort | virtual gymnasium personalized weight perception interface in lifting virtual objects |
topic | pseudo-haptic interface weight perception virtual fitness virtual reality augmented virtuality |
url | https://www.mdpi.com/2076-3417/12/23/12414 |
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