Real-time hand rubbing quality estimation using deep learning enhanced by separation index and feature-based confidence metric

Haghpanah, Mohammad Amin; Vali, Sina; Torkamani, Amin Mousavi; Masouleh, Mehdi Tale; Kalhor, Ahmad; Sarraf, Ehsan Akhavan

doi:10.1016/j.eswa.2023.119588

Cited by 6 publications

(1 citation statement)

References 28 publications

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“…Another illustration is the use of computer vision to detect and identify emotions and facial expressions, which can be very helpful for those with autism or other social communication challenges. In order to help people recognize and react appropriately to social cues, computer vision algorithms can be used to analyze video recordings of people's faces and subsequently provide feedback or instructions (Haghpanah, 2023).…”

Section: Previous Work On Computer Vision In Assistive Technologies F...mentioning

confidence: 99%

Exploring the use of computer vision in assistive technologies for individuals with disabilities: A review

Sahoo,

Choudhury

2024

10.5267/j.jfs

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A wide range of obstacles faced by people with disabilities, such as visual impairment, motor disability, and communication difficulties, have shown significant promise for being addressed by computer vision. The state-of-the-art in computer vision-based assistive technology is examined in this report along with major future research topics and obstacles. In particular, this study explores how computer vision can be used for object recognition, navigation, facial recognition, sign language interpretation, and gesture-based control interfaces. It also discusses the benefits and drawbacks of various methodologies and technologies and offers examples of how computer vision can be incorporated into current assistive technologies to boost their efficacy. The ethical and privacy issues surrounding the use of computer vision in assistive technologies are covered in this study effort. The study also highlights the need for protocol standardization, better user-centered design, and the assessment of real-world effectiveness as future research objectives for improving the use of computer vision in assistive technology. Overall, this paper sheds light on how computer vision might completely alter the world of assistive technologies for people with impairments.

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Section: Previous Work On Computer Vision In Assistive Technologies F...mentioning

confidence: 99%

Exploring the use of computer vision in assistive technologies for individuals with disabilities: A review

Sahoo,

Choudhury

2024

10.5267/j.jfs

View full text Add to dashboard Cite

show abstract

ResMFuse-Net: Residual-based multilevel fused network with spatial–temporal features for hand hygiene monitoring

Asif,

Xu,

Zhao

et al. 2024

Appl Intell

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Determining the trustworthiness of DNNs in classification tasks using generalized feature-based confidence metric

Haghpanah

Masouleh

Kalhor

2023

Pattern Recognition

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Real-time hand rubbing quality estimation using deep learning enhanced by separation index and feature-based confidence metric

Cited by 6 publications

References 28 publications

Exploring the use of computer vision in assistive technologies for individuals with disabilities: A review

Exploring the use of computer vision in assistive technologies for individuals with disabilities: A review

ResMFuse-Net: Residual-based multilevel fused network with spatial–temporal features for hand hygiene monitoring

Determining the trustworthiness of DNNs in classification tasks using generalized feature-based confidence metric

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