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Last Updated: 10 January 2023

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AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove

Abstract Sign language recognition, especially the sentence recognition, is of utmost importance in lowering the communication barrier between the hearing/speech impaired and the non-signers. The recognition of 50 words and 20 sentences by a non-segmentation and segmentation assistance with a deep learning platform is reflected in the recognition of 50 words and 20 sentences. Significantly, the segmentation technique converts entire sentence signals into word units. Then the deep learning model recognizes all word elements and reconstructs and recognizes sentences. Finally, the sign language recognition results are projected into virtual space and turned into text and audio, allowing for instant and bidirectional communication between signers and non-signers.

Source link: https://doi.org/10.1038/s41467-021-25637-w


Introducing wearable haptics for rendering velocity feedback in VR serious games for neuro-rehabilitation of children

We present the planning, implementation, and first analysis of a gaming scheme for upper limb rehabilitation of children with cerebral palsy in this issue. Particularly, we took pain to gather sensory evidence for the upcoming task while still having strict guidelines for haptic wearable devices to comply with patientu2019s comfort, residual motor capabilities, and embedded tracking capabilities of the new VR systems. Eight healthy participants were enrolled, and results showed that haptic feedback could lead to lower speed tracking errors and increased movement smoothness, making the entire scheme more suitable to be used in a rehabilitation context as a way to encourage movement smoothness during exercises.

Source link: https://doi.org/10.3389/frvir.2022.1019302

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions