Haptic/VR Assessment Tool for Fine Motor Control

Emery, Christophe; Samur, Evren; Lambercy, Olivier; Bleuler, Hannes; Gassert, Roger

doi:10.1007/978-3-642-14075-4_27

Cited by 9 publications

(3 citation statements)

References 8 publications

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“…Grasping force is simultaneously recorded using three force sensors located inside the handle. The VPIT setup is described in more details in previous work [13], [17].…”

Section: B Apparatusmentioning

confidence: 99%

Assessment of upper limb motor function in patients with multiple sclerosis using the Virtual Peg Insertion Test: A pilot study

Lambercy

Fluet

Lamers

et al. 2013

2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR)

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Quantifying and tracking upper limb impairment is of key importance to the understanding of disease progress, establishing patient-tailored therapy protocols and for optimal care provision. This paper presents the results of a pilot study on the assessment of upper limb motor function in patients with multiple sclerosis (MS) with the Virtual Peg Insertion Test (VPIT). The test consists in a goal-directed reaching task using a commercial haptic display combined with an instrumented handle and virtual environment, and allows for the extraction of objective kinematic and dynamic parameters. Ten MS patients and eight age-matched healthy subjects performed five repetitions of the VPIT with their dominant and non-dominant hand. Upper limb movements were found to be significantly slower, less smooth and less straight compared to healthy controls, and the time to complete the VPIT was well correlated with the conventional Nine Hole Peg Test (r=0.658, p<0.01). Tremor in the range of 3-5 Hz could be detected and quantified using a frequency analysis in patients featuring intention tremor. These preliminary results illustrate the feasibility of using the VPIT with MS patients, and underline the potential of this test to evaluate upper limb motor function and discriminate characteristic MS related impairments.

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“…Grasping force is simultaneously recorded using three force sensors located inside the handle. The VPIT setup is described in more details in previous work [13], [17].…”

Section: B Apparatusmentioning

confidence: 99%

Assessment of upper limb motor function in patients with multiple sclerosis using the Virtual Peg Insertion Test: A pilot study

Lambercy

Fluet

Lamers

et al. 2013

2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR)

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“…While tests have been recently designed using computercontrolled haptic interfaces [15,16], we believe that it is important that participants perform the real task with collocation of visual and haptic feedback. Participants may also prefer the appearance of the real object, and our experience of robot-assisted rehabilitation with stroke subjects has taught us the importance of this factor for the participants' motivation.…”

Section: Discussionmentioning

confidence: 99%

Instrumented sorting block box for children, a preliminary experiment

Klein

Chen

Burdet

2011

2011 IEEE International Conference on Rehabilitation Robotics

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This paper presents a prototype for an instrumented sorting block box designed for large-scale use in medical centers. A preliminary experiment was performed with unimpaired adults. Low-cost force sensors located under the top lid and realtime data processing allowed us to accurately estimate the position of the block. The data extracted from these sensors was used to develop and calculate suitable outcome measures such as the average distance to the target, overall time to complete the task, percentage of time spent far from the target, average force applied to the lid and number of mistrials. Results suggest a strong influence of the block shape, target location and movement number on the outcome measures. The tool and measures will be used for early assessment of abnormal development of motor skills in infants and for evaluation of pathological conditions such as cerebral palsy.

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“…Sveistrup (2004) observed that integration of appropriate haptic feedback in VR increases immersion and the sense of presence for users, which appears to contribute to improved training performance, particularly in difficult tasks. Additionally, haptic devices can be used to produce biomechanical and neuromuscular interactions in VR and to collect kinematic measures of patient functional and motor abilities (Bardorfer, Munih, Zupan, & Primozic, 2001; Emery, Samur, Lambercy, Bleuler, & Gassert, 2010).…”

Section: Directions Of Current Research and Seminal Studiesmentioning

confidence: 99%

Human Factors in Virtual Reality System Design for Mobility and Haptic Task Performance

Kaber¹,

Zhang²

2011

Reviews of Human Factors and Ergonomics

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In this chapter, we review research on the use of virtual reality (VR) and haptic technologies for studying human performance in tasks involving the tactile sense, including locomotion and upper-extremity motor-control training or rehabilitation. We present a general organizing framework of motor-control tasks and identify types of VR systems that have been developed for supporting the tactile sense in simulation of such tasks. We divide this coverage into gross motor tasks with a focus on locomotion and gait, in part because of the volume of research that has been conducted in this area, and fine motor skills with a focus on training for surgical tasks and upper-extremity rehabilitation. In covering VR technology, we review visual devices that facilitate hand-eye or body-eye coordination as well as physical task simulators (e.g., treadmill interfaces and haptic controllers). The directions of locomotion and motor-control task research exploiting these technologies are identified, and seminal studies representing each area are summarized. On this basis, we define a collection of VR simulation design recommendations from task and functional perspectives. The review also identifies the underlying cognitive and physical bases for specific observations on human performance made by previous research. Finally, the summaries of research studies are used as a basis for identifying future directions of research that should be addressed by the human factors community. 323at WESTERN OREGON UNIVERSITY on June 3, 2015 rev.sagepub.com Downloaded from

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Haptic/VR Assessment Tool for Fine Motor Control

Cited by 9 publications

References 8 publications

Assessment of upper limb motor function in patients with multiple sclerosis using the Virtual Peg Insertion Test: A pilot study

Assessment of upper limb motor function in patients with multiple sclerosis using the Virtual Peg Insertion Test: A pilot study

Instrumented sorting block box for children, a preliminary experiment

Human Factors in Virtual Reality System Design for Mobility and Haptic Task Performance

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