Proceedings of the XX Brazilian Symposium on Human Factors in Computing Systems 2021
DOI: 10.1145/3472301.3484376
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Wearable device in the form of glasses to assist the visually impaired in detecting obstacles

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Cited by 6 publications
(4 citation statements)
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“…There is a middle ground between submitting any research involving human participants to an EC and leaving all ethical deliberation related to the research to the researchers involved. We can see examples in some of the adherent papers analyzed, da Silva et al (2021) refrained from considering an EC. Even if there are substantial risks in the research protocol and the scientific communication itself, they clarify the measures adopted to mitigate or resolve the risks.…”
Section: Ec Thoughts On "Submit or Not?"mentioning
confidence: 99%
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“…There is a middle ground between submitting any research involving human participants to an EC and leaving all ethical deliberation related to the research to the researchers involved. We can see examples in some of the adherent papers analyzed, da Silva et al (2021) refrained from considering an EC. Even if there are substantial risks in the research protocol and the scientific communication itself, they clarify the measures adopted to mitigate or resolve the risks.…”
Section: Ec Thoughts On "Submit or Not?"mentioning
confidence: 99%
“…da Silva et al (2021) was unable to recruit the research target audience, visually impaired participants. In this way, they carry out the research experiment with blindfolded people without visual impairments.…”
Section: Q8 Limitations or Difficultiesmentioning
confidence: 99%
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“…Integrating data of patients, such as information of the patient in the health care system and devices connected to the patient, can be successful using fast and reliable automated patient recognition based on face recognition using the cameras of smart glasses [22]. Smart glasses can be used to assist visually impaired in their mobility tasks, especially for obstacle detection above waist level [23]. Infrared and position sensors together with noise filters and an Android app resulted in 93% sensitivity and 95% specificity.…”
Section: Infocommunications Journalmentioning
confidence: 99%