Výsledky vyhledávání - "ALBERT, MARK"

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Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation

Autor: Rafiq, Riyad Bin, Shi, Weishi, Albert, Mark V.

Hand gestures can provide a natural means of human-computer interaction and enable people who cannot speak to communicate efficiently. Existing hand gesture recognition methods heavily depend on pre-defined gestures, however, motor-impaired individua

Externí odkaz: http://arxiv.org/abs/2405.08969

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Kniha

Bridging Human Intelligence and Artificial Intelligence. [elektronicky zdroj]

Autor: Albert, Mark V.

Externí odkaz: Kolekce e-knih KNAV (Registrovani uzivatele: plny text online 5 minut, dalsi pristup na vyzadani. Registered users: full text online 5 minutes, further access on request.)

Akademický článek

Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

Autor: Shawen, Nicholas, Lonini, Luca, Mummidisetty, Chaithanya Krishna, Shparii, Ilona, Albert, Mark V, Kording, Konrad, Jayaraman, Arun

Publikováno v: JMIR mHealth and uHealth, Vol 5, Iss 12, p e167 (2017)

Externí odkaz: https://doaj.org/article/90f6755b48374c7bb7f2cd6c2a4d6a8e

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Akademický článek

Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

Autor: Shawen, Nicholas, Lonini, Luca, Mummidisetty, Chaithanya Krishna, Shparii, Ilona, Albert, Mark V, Kording, Konrad, Jayaraman, Arun

Publikováno v: JMIR mHealth and uHealth, Vol 5, Iss 10, p e151 (2017)

BackgroundAutomatically detecting falls with mobile phones provides an opportunity for rapid response to injuries and better knowledge of what precipitated the fall and its consequences. This is beneficial for populations that are prone to falling, s

Externí odkaz: https://doaj.org/article/08ef17cca1784c119f27b7ecbdbf9ba2

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