Accessing Passersby Proxemic Signals through a Head-Worn Camera: Opportunities and Limitations for the Blind.

Lee, Kyungjun; Sato, Daisuke; Asakawa, Saki; Asakawa, Chieko; Kacorri, Hernisa

Lee, Kyungjun; Sato, Daisuke; Asakawa, Saki; Asakawa, Chieko; Kacorri, Hernisa.

Afiliación

Lee K; University of Maryland, College Park, College Park, Maryland, USA.
Sato D; Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Asakawa S; New York University, Brooklyn, New York, USA.
Asakawa C; IBM Research, Carnegie Mellon University.
Kacorri H; University of Maryland, College Park, College Park, Maryland, USA.

ASSETS ; 212021.

Article en En | MEDLINE | ID: mdl-35187543

Palabras clave

Accessibility technologies; Computing methodologies â Computer vision; Empirical studies in HCI; Empirical studies in accessibility; Human-centered computing â User studies; Mobile devices; blind people; machine learning; pedestrian detection; proxemics; spatial proximity; wearable camera

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ASSETS Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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