A novel approach in rehabilitation of hand-eye coordination and finger dexterity

Yan, Shen; Gu, Ping; Ong, S. K.; Nee, A. Y. C.

doi:10.1007/s10055-011-0194-x

Cited by 19 publications

(6 citation statements)

References 19 publications

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“…Other post-stroke visual concerns pertain to eye-hand coordination deficits. These deficits have been shown to result in reduced independence and quality of life [ 10 ]. Other conditions that can lead to decreased visual acuity such as glaucoma, cataract, retinal diseases, macular degeneration, and refractive errors [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Stroke Survivor and Caregiver Perspectives on Post-Stroke Visual Concerns and Long-Term Consequences

Smith

Pappadis

Krishnan

et al. 2018

Behavioural Neurology

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Approximately 800,000 people in the United States have a stroke annually. Up to two thirds of stroke survivors have some visual problems, which result in disability and can affect survivors' overall rehabilitation outcomes. Although some post-stroke visual impairments can be corrected and respond well to intervention, ocular signs can be subtle and may not be recognized or reported by the stroke survivor but rather by a vigilant caregiver. The purpose of this study was to explore the post-stroke visual concerns and consequences expressed by stroke survivors and caregivers. This study employed a qualitative design using semistructured interviews conducted with a convenience sample of stroke survivors and caregivers recruited from either a community support group or skilled nursing and long-term care facilities. Interviews were recorded and transcribed verbatim. Comparative content analysis was used to identify vision-related themes by two independent coders. All research team members completed quality checking of coding. Twenty participants (11 stroke survivors and 9 caregivers) expressed visual concerns or consequences following stroke: (1) eye movement problems, (2) perceptual issues, and (3) consequences of vision problems or issues, which affected their daily life/quality of life. Stroke survivors and caregivers reported receiving vision care from (1) eye doctors, (2) occupational therapists, and (3) other healthcare professionals. All vision care providers need to be observant of potential post-stroke visual concerns. Stroke survivors should have a thorough vision evaluation to optimize their independence in everyday activities and quality of life.

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Section: Introductionmentioning

confidence: 99%

Stroke Survivor and Caregiver Perspectives on Post-Stroke Visual Concerns and Long-Term Consequences

Smith

Pappadis

Krishnan

et al. 2018

Behavioural Neurology

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“…A basic touch screen has three main components, including a touch sensor, controller, and software driver. A data glove (Lu et al 2012, Grabowski 2015Zhao et al 2016, Hernoux and Christmann 2015, Wu et al 2017, Shen et al 2012) (also called wired glove or cyber glove) uses various sensor technologies to capture hand pose data. Several motion trackers, such as a magnetic tracking, are attached to capture the global and local position/rotation data of the hand and fingers.…”

Section: Related Workmentioning

confidence: 99%

Object manipulation and deformation using hand gestures

Mahdikhanlou

Ebrahimnezhad

2021

J Ambient Intell Human Comput

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Compared to the mouse, as a two-dimensional and precise interface device, hand gestures provide more degrees of freedom for users to interact with computers by employing intelligent computing methods. Leap Motion Controller is gaining more popularity due to its ability to detect and track hand joints in three dimensions. However, in some cases, the Leap Motion Controller measurements are not correct enough. We show that the occlusion, palm angle, and the limited field of view are the main downsides of the Leap Motion Controller. In this paper, a framework is proposed to manipulate and deform a three-dimensional object by hand gestures. We select only a few gestures so that the system instructions can be easily memorized. The gestures are not defined very strictly, so users can do them properly without getting tired. We propose that calculating a reliable space from a Leap Motion Controller can significantly reduce these problems. To deform objects, the Free Form Deformation technique is used, which allows for more local deformation. The selected gestures and determined space for interaction make the deformation framework achieve a balance between the accuracy, user-factors, required tasks for deformation, and limitation of the hand tracking device. The proposed method, compared to related studies, offers more creative methods for deforming objects and more natural movements to interact with the system. According to the conducted user study, a significant difference is observed between hand gesture interaction and mouse in terms of speed and number of attempts.

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“…Some applications make use of AR to support finger training and rehabilitation. Shen et al [16] use AR to present a virtual piano to the user. By detecting finger presses on the virtual keys this training can assist coordination training for participants who lack muscle strength to use an actual keyboard.…”

Section: Related Workmentioning

confidence: 99%

AR-PETS: Development of an Augmented Reality Supported Pressing Evaluation Training System

Plopski

Mori

Taketomi

et al. 2018

Human Aspects of IT for the Aged Population. Applications in Health, Assistance, and Entertainment

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With age, changes to the human nervous system lead to a decrease in control accuracy of extremities. Especially, reduced control over the fingers gravely affects a person's quality of life and self-reliance. It is possible to recover the ability to accurately control the amount of power applied with one's fingers through training with the Pressing Evaluation Training System (PETS). When training with the PETS users have to focus on guidance provided on a monitor and lose sight of their fingers. This could lead to increased mental workload and reduced training efficiency. In this paper we explore if presenting the guidelines closer to the user's fingers provides better guidance to the user, thus improving the performance results. In particular, we use a video-see-through headmounted display to present guidance next to the user's fingers through augmented reality (AR), and a haptic device to replicate the tasks during PETS training. We test our implementation with 18 university students. Although the results of our study indicate that presenting information closer to the interaction area does not improve the performance, several participants preferred guidance presented in AR.

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A novel approach in rehabilitation of hand-eye coordination and finger dexterity

Cited by 19 publications

References 19 publications

Stroke Survivor and Caregiver Perspectives on Post-Stroke Visual Concerns and Long-Term Consequences

Stroke Survivor and Caregiver Perspectives on Post-Stroke Visual Concerns and Long-Term Consequences

Object manipulation and deformation using hand gestures

AR-PETS: Development of an Augmented Reality Supported Pressing Evaluation Training System

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