Comparative Study: Virtual Fixtures and Shared Control for Rehabilitation of Fine Motor Skills

Srimathveeravalli, Govindarajan; Gourishankar, V.; Kesavadas, T.

doi:10.1109/whc.2007.31

Cited by 12 publications

(11 citation statements)

References 10 publications

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“…A third approach, termed shared control in the literature, serves to modify the dynamics of the system by imposing a control effort that elicits the desired behavior of the participant (O'Malley, Gupta, Gen, & Li, 2006;Griffiths & Gillespie, 2004;Emken & Reinkensmeyer). A comparative study of these last two approaches performed by Srimathveeravalli, Gourishankar, and Kesavadas (2007) showed slightly better performance from the shared control approach over the virtual fixture approach.…”

Section: Introductionmentioning

confidence: 99%

Expertise-Based Performance Measures in a Virtual Training Environment

Huegel

Çelik²,

Israr³

et al. 2009

Presence: Teleoperators and Virtual Environments

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This paper introduces and validates quantitative performance measures for a rhythmic target-hitting task. These performance measures are derived from a detailed analysis of human performance during a month-long training experiment where participants learned to operate a 2-DOF haptic interface in a virtual environment to execute a manual control task. The motivation for the analysis presented in this paper is to determine measures of participant performance that capture the key skills of the task. This analysis of performance indicates that two quantitative measures-trajectory error and input frequency-capture the key skills of the targethitting task, as the results show a strong correlation between the performance measures and the task objective of maximizing target hits. The performance trends were further explored by grouping the participants based on expertise and examining trends during training in terms of these measures. In future work, these measures will be used as inputs to a haptic guidance scheme that adjusts its control gains based on a real-time assessment of human performance of the task. Such guidance schemes will be incorporated into virtual training environments for humans to develop manual skills for domains such as surgery, physical therapy, and sports.

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Section: Introductionmentioning

confidence: 99%

Expertise-Based Performance Measures in a Virtual Training Environment

Huegel

Çelik²,

Israr³

et al. 2009

Presence: Teleoperators and Virtual Environments

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“…Kim [10] developed a programmable handwriting teaching system, and Plimmer [11] developed McSig, a multimodal (auditory, tactile, and force feedback) system for teaching the signature writing for blind students. Researchers at the University at Buffalo have developed a series of studies on motor skill transfer [12][13][14]. They developed the concept of haptic attributes (HA) for the assistance technology of virtual fixture (VF) and shared control (SC) [12].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Researchers at the University at Buffalo have developed a series of studies on motor skill transfer [12][13][14]. They developed the concept of haptic attributes (HA) for the assistance technology of virtual fixture (VF) and shared control (SC) [12]. They showed that a fine motor action can be parameterized using force and position information.…”

Section: Literature Reviewmentioning

confidence: 99%

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Haptics Assisted Training (HAT) System for children's handwriting

Kim¹,

Collins

Bulmer

et al. 2013

2013 World Haptics Conference (WHC)

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We present Haptics Assisted Training (HAT) System, a force feedback workstation for transferring and improving handwriting skill. The HAT system is the first practical handwriting training system whose usability was tested both in typical and special education classrooms of a local school district. Simulating the role of occupational therapists (OT), the HAT system guides the user's hand along the sequence of strokes of the reference handwriting recorded by an expert or teacher. Since the handwriting data is formatted as a set of ordered paths, it can teach any form of pen strokes, such as words, shapes, and even drawings. Training tasks are presented as a 3D game which captures children's attention and more effective visual motor integration (VMI) is anticipated than traditional paper materials. In this paper we describe the design and implementation of the prototype. We also report a comparative study on handwriting performance of twenty participants grouped into four categories by education types (special vs. typical) and haptic devices (Phantom Omni™ vs. Novint Falcon™). As a result, we observed that the children quickly adjusted themselves to the system, and they sustained engagement at the word-writing tasks without any intervention. Results also showed improvements in tracing precision on the HAT system over time. Details of the results and lessons learned from the study are discussed.

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“…O 'Malley, Gupta, Gen, and Li (2006) and Srimathveeravalli, Gourishankar, and Kesavadas (2007) experimentally evaluated and compared the guiding virtual fixtures (GVF) and shared control (SC) techniques in terms of performance enhancement and improved training. O'Malley et al found that GVF and SC are both substantially effective in reducing the task completion time.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Environmental Effects on Collaborative Haptic Guidance

Khademian

Apkarian

Hashtrudi-Zaad

2011

Presence: Teleoperators and Virtual Environments

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This paper investigates the effect of environmental factors on user performance in a dual-user haptic guidance system. The system under study allows for interaction between both users, the trainee and the trainer, to collaboratively perform a common task in a shared virtual environment. User studies are carried out to experimentally evaluate the users' performance while following square and circular trajectories with two viewpoints of the environment (top view and front view), while the virtual manipulator tool moves in free motion or against forbidden-region virtual fixtures. The performance is measured and statistically evaluated against task completion time, tracking accuracy, and user energy exchange. The studies revealed that changing the environment geometry from a square to a circle results in reduced task completion time and tracking error. Changing the environment viewpoint from top to front decreases the task completion time in both geometries. Forbidden-region virtual fixtures increase energy exchange by both users and decrease task completion time while compromising the tracking performance in the square-following task. However, when visual feedback is removed in the presence of the fixtures, the square tracking performance improves. The results also indicate a strong relationship between user dominance and tracking error only when the experiment is time-limited.

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Comparative Study: Virtual Fixtures and Shared Control for Rehabilitation of Fine Motor Skills

Cited by 12 publications

References 10 publications

Expertise-Based Performance Measures in a Virtual Training Environment

Expertise-Based Performance Measures in a Virtual Training Environment

Haptics Assisted Training (HAT) System for children's handwriting

Assessment of Environmental Effects on Collaborative Haptic Guidance

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