Augmented reality eyeglasses for promoting home-based rehabilitation for children with cerebral palsy

Munroe, Christopher; Meng, Yuanliang; Yanco, Holly A.; Begum, Momotaz

doi:10.1109/hri.2016.7451858

Cited by 11 publications

(5 citation statements)

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“…Munro et al [25] designed an augmented reality game to provide a chance for neurorehabilitation at home for children with cerebral palsy. Electrodes for electromyography and acceleration sensors make up the system.…”

Section: Software Programs and Systems Used In Physical Therapymentioning

confidence: 99%

The Use of Corehab Riablo Medical Software in Primary Kinetic Prophylaxis

Szabo

Neagu

Csatlos

et al. 2022

shk

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Sedentarism is a very actual problem in our society, and it has increasing rate because of the comfort that technology gives us. It can cause many health issues, starting with obesity and continuing with diabetes, hypertension, dyslipidemia, cancer, osteoporosis, musculoskeletal diseases, depression, and cognitive function disorders. The objective of this study was to test the CoRehab software, which uses interactive games developed for each exercise, and prove its efficiency in prophylactic programs. The system uses motion tracking to control the games. The hardware consists of 5 motion-tracking sensors, a stabilizer platform, and a notebook with preinstalled software. Between the tests, we followed a prophylactic training program. Results: The scores of the second test in the daily score and precision categories were more miniature at 1.3%, but the values for stability and accuracy were more significant, with 11.5% and 10.5%. So, the program maintained a training level in 2 categories and improved it in the other two categories. Conclusion: Implementing this system in the kinetic prophylactic training programs could increase their efficiency, and it would help to follow the evolution of the subjects using it more accessible.

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Section: Software Programs and Systems Used In Physical Therapymentioning

confidence: 99%

The Use of Corehab Riablo Medical Software in Primary Kinetic Prophylaxis

Szabo

Neagu

Csatlos

et al. 2022

shk

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show abstract

“…In [104] and [114], two different full body touchless rehabilitation systems based on Kinect are proposed. [41] Head movement 3D glasses Amblyopia No Munroe et al [77] Arm gesture HMD Cerebral palsy No Mavs et al [68] Head movement HMD Stroke No Knight et al [61] Entire body Visual on projected images Upper limb prosthetic training Yes Sen et al [108] Entire body 2D screen Stroke No Kato et al [56] Entire body 3D screen Stroke No Avola et al [9] Entire body 2D screen Stroke No Shiratuddin et al [109] Hands 2D screen Stroke No Saini et al [104] Entire body 2D screen Stroke No Sosa et al [114] Entire body 2D screen Multiple sclerosis No García-Martínez et al [40] Hands with specific controller 2D screen Stroke Yes Pei et al [89] Entire body 2D screen Stroke No…”

Section: Gesture Recognition and Pointingmentioning

confidence: 99%

“…The system is composed by a mobile application and a Google Cardboard, i.e., a low cost device able to reproduce virtual reality by means of a smartphone. In [77], the Myo armband [97] is used to perform home-based neurorehabilitation, by an augmented reality game, for children with cerebral palsy. In some contexts, the VR systems are independent from the used devices, as in [68].…”

Section: Gesture Recognition and Pointingmentioning

confidence: 99%

MIFTel: a multimodal interactive framework based on temporal logic rules

Avola

Cinque

Bimbo

et al. 2020

Multimed Tools Appl

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Human-computer and multimodal interaction are increasingly used in everyday life. Machines are able to get more from the surrounding world, assisting humans in different application areas. In this context, the correct processing and management of signals provided by the environments is determinant for structuring the data. Different sources and acquisition times can be exploited for improving recognition results. On the basis of these assumptions, we are proposing a multimodal system that exploits Allen's temporal logic combined with a prevision method. The main object is to correlate user's events with system's reactions. After post-elaborating coming data from different signal sources (RGB images, depth maps, sounds, proximity sensors, etc.), the system is managing the correlations between recognition/detection results and events in real-time to create an interactive environment for the user. For increasing the recognition reliability, a predictive model is also associated with the proposed method. The modularity of the system grants a full dynamic development and upgrade with custom modules. Finally, a comparison with other similar systems is shown, underlining the high flexibility and robustness of the proposed event management method. Ringraziamenti Questo percorso di crescita personale ha portato ad interiorizzare conoscenze notevoli in ambito della computer vision e non solo. Devo molto al Prof. Luigi Cinque per questa opportunità offertami. Inoltre, la sua umanità è stata la virtù più rara che abbia trasmesso. Contestualmente, ho avuto il piacere e l'onore di poter lavorare con un gruppo di ricerca tra i migliori d'Italia. Il Visionlab è diventato un punto di riferimento in questi 3 anni e senza Daniele, Cristiano e Marco probabilmente non avrei raggiunto i risultati di oggi. Devo molto anche a loro. Infine, devo fare un ringraziamento speciale a Danilo Avola, colui che ha fornito un supporto determinante alla ricerca dell'intero laboratorio. Una guida, un maestro ed anche un amico.

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“…Increasing numbers of studies have shown positive rehabilitation outcomes using the combination of sensing technology and interactive gaming or VR environments. 21,22 Munroe et al 23 designed an AR game to provide home-based neurorehabilitation for children with cerebral palsy. The system combines electromyography electrodes and accelerometers in an armband to provide data.…”

Section: Virtual and Augmented Reality Systemsmentioning

confidence: 99%

Wearable technologies for active living and rehabilitation: Current research challenges and future opportunities

Rodgers

Alon

Pai³

et al. 2019

Journal of Rehabilitation and Assistive Technologies Engineerin

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This paper presents some recent developments in the field of wearable sensors and systems that are relevant to rehabilitation and provides examples of systems with evidence supporting their effectiveness for rehabilitation. A discussion of current challenges and future developments for selected systems is followed by suggestions for future directions needed to advance towards wider deployment of wearable sensors and systems for rehabilitation.

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Augmented reality eyeglasses for promoting home-based rehabilitation for children with cerebral palsy

Cited by 11 publications

References 0 publications

The Use of Corehab Riablo Medical Software in Primary Kinetic Prophylaxis

The Use of Corehab Riablo Medical Software in Primary Kinetic Prophylaxis

MIFTel: a multimodal interactive framework based on temporal logic rules

Wearable technologies for active living and rehabilitation: Current research challenges and future opportunities

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