Out of reach? &amp;#x2014; A novel AR interface approach for motor rehabilitation

Regenbrecht, Holger; McGregor, Graham; Ott, Claudia; Hoermann, Simon; Schubert, Thomas W.; Hale, Leigh; Hoermann, Julia; Dixon, Brian; Franz, Elizabeth A.

doi:10.1109/ismar.2011.6092389

“…The following Table 1 enumerates some of present AR-based rehabilitation systems [6,7,8,9,10,11,12] , which can be carried out wrist training, with a comparative analysis of these systems' three aspects that include the components, training process, evaluation methods and features of system. These systems can provide a favorable training environment for patients with high interest and deep immersion.…”

Section: Related Workmentioning

confidence: 99%

A New AR-Based Framework For Wrist Assessment And Rehabilitation

Zeng¹,

Ji²,

Li³

2017

Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC

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The existing rehabilitation systems based on augmented reality (AR) are lacking of the targeted training of joint and requiring a large number of auxiliary equipment. This paper proposes a novel framework for wrist-rehabilitation assessment and training that integrates AR technology with kinesiotherapy and occupational therapy in rehabilitation medicine, which focuses on coaching patients to wrist radial and ulnar deviation rehabilitation at any time and any place. Particularly, an AR-based water-droplet training game, suggested by clinical doctors in hospital, is developed to improve the flexibility of the wrist movement. The effect of rehabilitation can be achieved by measuring the range of motion (ROM) of the wrist. Finally, the evaluation scheme of this framework is designed in detail.

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“…Several AR systems have used a variety of interaction methods such as gloves [26], [33], real objects [1], [23], [25], small markers attached to the hand [19] and contact-less tracking [10], [31]. Thereby, different visualization styles have been used, such as monitors [10], [25], [31], [33], 2D or 3D rendering in direct environment of the patient (2D: [19], [23], 3D: [1], [26]). …”

Section: Introductionmentioning

confidence: 99%

[POSTER] Hybrid Video/Optical See-Through HMD

Cutolo

¹

,

Fontana

²

,

Carbone

³

et al. 2017

2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)

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Advances in technology offer new opportunities for a better understanding of how different disorders affect motor function. In this paper, we explore the potential of an augmented reality (AR) game implemented using free hand and body tracking to develop a uniform, cost-effective and objective methods for evaluation of upper extremity motor dysfunction in different patient groups. We conducted a study with 20 patients (10 Parkinson's Disease patients and 10 stroke patients) who performed hand/arm movement tasks in four different conditions in AR and one condition in real world. Despite usability issues mainly due to non-robust hand tracking, the patients were moderately engaged while playing the AR game. Our findings show that moving virtual objects was less targeted, took more time and was associated with larger trunk displacement and a lower variability of elbow angle and upper arm angle than moving real objects. No significant correlations were observed between characteristics of movements in AR and movements in the real world. Still, our findings suggest that the AR game may be suitable for assessing the hand and arm function of mildly affected patients if usability can be further improved.

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“…Several AR systems have used a variety of interaction methods such as gloves [26], [33], real objects [1], [23], [25], small markers attached to the hand [19] and contact-less tracking [10], [31]. Thereby, different visualization styles have been used, such as monitors [10], [25], [31], [33], 2D or 3D rendering in direct environment of the patient (2D: [19], [23], 3D: [1], [26]). …”

Section: Introductionmentioning

confidence: 99%

Assessing Upper Extremity Motor Dysfunction Using an Augmented Reality Game

Cidota

¹

,

Bank

²

,

Ouwehand

³

et al. 2017

2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

View full text Add to dashboard Cite

Advances in technology offer new opportunities for a better understanding of how different disorders affect motor function. In this paper, we explore the potential of an augmented reality (AR) game implemented using free hand and body tracking to develop a uniform, cost-effective and objective methods for evaluation of upper extremity motor dysfunction in different patient groups. We conducted a study with 20 patients (10 Parkinson's Disease patients and 10 stroke patients) who performed hand/arm movement tasks in four different conditions in AR and one condition in real world. Despite usability issues mainly due to non-robust hand tracking, the patients were moderately engaged while playing the AR game. Our findings show that moving virtual objects was less targeted, took more time and was associated with larger trunk displacement and a lower variability of elbow angle and upper arm angle than moving real objects. No significant correlations were observed between characteristics of movements in AR and movements in the real world. Still, our findings suggest that the AR game may be suitable for assessing the hand and arm function of mildly affected patients if usability can be further improved.

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Out of reach? — A novel AR interface approach for motor rehabilitation

Cited by 40 publications

References 35 publications

A New AR-Based Framework For Wrist Assessment And Rehabilitation

A New AR-Based Framework For Wrist Assessment And Rehabilitation

[POSTER] Hybrid Video/Optical See-Through HMD

Assessing Upper Extremity Motor Dysfunction Using an Augmented Reality Game

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