Hand gestures recognition using electromyography for bilateral upper limb rehabilitation

Aguiar, Lucas F.; Bó, Antônio Padilha Lanari

doi:10.1109/lsc.2017.8268144

Cited by 8 publications

(2 citation statements)

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“…These results encourage future developments of the library, which may include tools to automatically segment, classify and quantify sequence of hand movements, such as proposed in de Souza Baptista et al (2017). Incorporating other input modalities, such as Wang et al (2021) and Aguiar and Bo (2017), is also an alternative, as well as integrating other rehabilitation technologies Cardoso et al (2022), particularly due to the potential therapeutic benefits.…”

Section: Discussionmentioning

confidence: 99%

Virtual Reality Rehabilitation using Hand Tracking

Coox,

McKittrick,

Tornatore

et al. 2024

Preprint

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Virtual reality rehabilitation (VR) can complement traditional rehabilitation therapy to increase motivation and thus the quality of exercise, while transferring effectively to real-world tasks. Hand tracking can significantly improve usability and immersion. A VR hand-tracking-based interaction system has been developed that supports various hand interactions, including grasping, pinching, and gesturing to complete virtual exercises. Interactions support modifiable difficulty and requirements, metrics, and visual error augmentation (EA). Audio-visual signifiers and feedback to guide interactions are also applied. A proof-of-concept rehabilitation game was tested with non-expert (N=7) and expert occupational therapy (N=5) participants. Participants completed tasks including grabbing objects, pinching, pulling handles, tracing paths, and making hand gestures. The system's usability was the primary outcome of the study. The results have shown this system is highly usable, with a modified System Usability Scale (SUS) of 88.93 (non-expert) and 74.5 (expert). A preliminary performance analysis was also conducted, indicating a limited number of unsuccessful hand-object interactions, although the accuracy in some interactions was impacted by tracking occlusion.

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Section: Discussionmentioning

confidence: 99%

Virtual Reality Rehabilitation using Hand Tracking

Coox,

McKittrick,

Tornatore

et al. 2024

Preprint

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“…Fall et al [15] developed a wearable control interface for people who have a weak arm, hands and fingers or are unable to control these body parts but have the ability to control their head/head-part and shoulder. Aguiar and Bó [16] developed a wearable EMG-based system for people with upper limb disabilities. Altakrouri, Burmeister, Boldt and Schrader [17] developed a similar system for people suffering from hand and arm impairment.…”

Section: Dash Human-computer Interactionmentioning

confidence: 99%

Gesture Interfacing for People With Disability of the Arm, Shoulder and Hand (Dash) for Smart Door Control: Goms Analysis

Azmi

Yusof

Chiew

et al. 2019

MJCS

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People with disabilities may interact with their environment differently from other human beings. This is also the case with people with the disability of the arm, shoulder and hand (DASH). However, most environments do not include supportive design for DASH. This study aimed to explore and analyze the body parts used by people with DASH to open doors in a real-world environment and to find an efficient interface design for people with DASH to open doors through a computer interface. This study was conducted in three parts: interviews of three people with DASH, observation of the videos of people with DASH opening doors, and GOMS analysis of five designed interfaces for people with DASH to open doors/windows through a computer interface. It was found that head gesture was suitable to be used as an interaction medium and through the GOMS analysis that the Type 5 (every task has a different head gesture movement) and Type 3 (positioning heads at different vertical or horizontal positions) are two most efficient designed interfaces for head gesture with regards to opening a door.

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