Self-managed patient-game interaction using the barrett WAM arm for motion analysis

Lioulemes, Alexandros; Sassaman, Paul; Gieser, Shawn N.; Karkaletsis, Vangelis; Makedon, Fillia; Metsis, Vangelis

doi:10.1145/2769493.2769517

Cited by 10 publications

(6 citation statements)

References 17 publications

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“…Besides interest in developing robotic devices identified in the hardware development category, some research teams have also focused on robotic devices that are already available on the market. Several studies used haptic devices such as Phantom Omni [ 22 , 120 - 122 ], Novint Falcon [ 77 , 122 , 123 ], Haptic Master [ 59 , 124 - 127 ], and Geomagic Touch [ 128 ], whereas others used robotic gloves such as CyberGrasp [ 124 , 126 , 129 ] and 5DT Data Glove [ 130 , 131 ] or robotic arms such as Barrett Wam [ 132 ] and Armeo Spring [ 20 , 108 , 133 ].…”

Section: Resultsmentioning

confidence: 99%

“…By contrast, one study [ 98 ] reported that game achievements (the score regarding the number of coins collected) are not always an objective indicator of a patient’s therapy progress. In addition, the task completion extracted features for a group of studies is the result of a patient’s performance compared with a gold-standard method, which is usually an ideal movement trajectory (perhaps executed from a healthy subject) that the patient should follow, or an arithmetic measurement calculated after quantification of a specific hand movement [ 128 , 132 , 164 , 174 ]. Deviations from the gold standard are calculated and constitute the extracted features.…”

Section: Resultsmentioning

confidence: 99%

“…Deviations from the gold standard are calculated and constitute the extracted features. For example, Lioulemes et al [ 132 ] first classified hand trajectories from patients with a support vector machine classifier and a hidden Markov model, and then calculated their deviations from the optimal trajectory as errors in space and time. For the second part of their analysis, they used dynamic time warping, which is a method for aligning optimally time-dependent sequences.…”

Section: Resultsmentioning

confidence: 99%

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Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

Koutsiana¹,

Ladakis²,

Fotopoulos³

et al. 2020

JMIR Serious Games

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Background: Serious gaming has increasingly gained attention as a potential new component in clinical practice. Specifically, its use in the rehabilitation of motor dysfunctions has been intensively researched during the past three decades. Objective: The aim of this scoping review was to evaluate the current role of serious games in upper extremity rehabilitation, and to identify common methods and practice as well as technology patterns. This objective was approached via the exploration of published research efforts over time. Methods: The literature search, using the PubMed and Scopus databases, included articles published from 1999 to 2019. The eligibility criteria were (i) any form of game-based arm rehabilitation; (ii) published in a peer-reviewed journal or conference; (iii) introduce a game in an electronic format; (iv) published in English; and (v) not a review, meta-analysis, or conference abstract. The search strategy identified 169 relevant articles. Results: The results indicated an increasing research trend in the domain of serious gaming deployment in upper extremity rehabilitation. Furthermore, differences regarding the number of publications and the game approach were noted between studies that used commercial devices in their rehabilitation systems and those that proposed a custom-made robotic arm, glove, or other devices for the connection and interaction with the game platform. A particularly relevant observation concerns the evaluation of the introduced systems. Although one-third of the studies evaluated their implementations with patients, in most cases, there is the need for a larger number of participants and better testing of the rehabilitation scheme efficiency over time. Most of the studies that included some form of assessment for the introduced rehabilitation game mentioned user experience as one of the factors considered for evaluation of the system. Besides user experience assessment, the most common evaluation method involving patients was the use of standard medical tests. Finally, a few studies attempted to extract game features to introduce quantitative measurements for the evaluation of patient improvement. Conclusions: This paper presents an overview of a significant research topic and highlights the current state of the field. Despite extensive attempts for the development of gamified rehabilitation systems, there is no definite answer as to whether a serious game is a favorable means for upper extremity functionality improvement; however, this certainly constitutes a supplementary means for motivation. The development of a unified performance quantification framework and more extensive experiments could generate richer evidence and contribute toward this direction.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

Koutsiana¹,

Ladakis²,

Fotopoulos³

et al. 2020

JMIR Serious Games

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show abstract

“…A considerable amount of research has been conducted in the fields of computer vision, human-computer and humanrobot interaction to track the human body. Whereas for entertainment or rehabilitation applications [1] [6] [7], each of the above fields utilizes different technologies and diverse methodologies to track the state of human body [16]. In our work, we combined a variety of these techniques to track and calculate the motion parameters and torques that affect the shoulder and elbow of an individual who performs rehabilitation exercises.…”

Section: Related Workmentioning

confidence: 99%

A Motion and Force Analysis System for Human Upper-limb Exercises

Theofanidis

Lioulemes

Makedon

2016

Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments

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This paper describes a novel system that can demonstrate the potential to track and estimate the torques that affect the human arm of an individual that performs rehabilitation exercises with the use of Kinect v2. The system focuses on eliminating the jerky motions captured by the Kinect with the incorporation of robotic mechanics methodologies that have been applied in the field of robotic mechanical design. In order to achieve this results, the system takes full advantage of the dynamic and kinematic formulas that describe the motion rigid bodies. Lastly, a simulation experiment is depicted to demonstrate the results of the system.

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“…The 3D trajectory will help challenge the user and integrate a more direct physical rehabilitative process to the game. As the user follows the predetermined and changing trajectories, the system estimates their hand-eye coordination, hand's smoothness and trajectory deviation [19] [27]. In the final level (L4), we return the user to the first scene of painting the fence.…”

Section: Game Setupmentioning

confidence: 99%

Multimodal Analysis of Serious Games for Cognitive and Physiological Assessment

Chebaa

Lioulemes

Abujelala

et al. 2016

Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments

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Serious games usually refer to virtual games used for training, simulation, or education and can engage users in cognitive and physical tasks. The design of serious games may offer insights on users' cognitive and physical behaviors while they try to accomplish structured tasks. In this study, we concentrate on the design principles of serious games that can be used for assessment, which we employed for our own design. To test our prototype, we conducted an experiment with control participants. Results from surveys, our collected game features, and sensor outputs were compared and analyzed with hypotheses based on previous research studies. Finally, we interpret the results of our experiment, and we describe issues and real life uncertainties that associate with sensor errors.

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Self-managed patient-game interaction using the barrett WAM arm for motion analysis

Cited by 10 publications

References 17 publications

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

A Motion and Force Analysis System for Human Upper-limb Exercises

Multimodal Analysis of Serious Games for Cognitive and Physiological Assessment

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