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Author  |
Juan Ramon Terven Salinas; Joaquin Salas; Bogdan Raducanu | ||||
| Title | New Opportunities for Computer Vision-Based Assistive Technology Systems for the Visually Impaired | Type | Journal Article | ||
| Year | 2014 | Publication | Computer | Abbreviated Journal | COMP |
| Volume | 47 | Issue | 4 | Pages | 52-58 |
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| Abstract | Computing advances and increased smartphone use gives technology system designers greater flexibility in exploiting computer vision to support visually impaired users. Understanding these users' needs will certainly provide insight for the development of improved usability of computing devices. | ||||
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| ISSN | 0018-9162 | ISBN | Medium | ||
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| Notes | LAMP; | Approved | no | ||
| Call Number | Admin @ si @ TSR2014a | Serial | 2317 | ||
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| Author |
Juan Ramon Terven Salinas; Joaquin Salas; Bogdan Raducanu | ||||
| Title | Estado del Arte en Sistemas de Vision Artificial para Personas Invidentes | Type | Journal | ||
| Year | 2013 | Publication | Komputer Sapiens | Abbreviated Journal | KS |
| Volume | 1 | Issue | Pages | 20-25 | |
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| Notes | OR;MV | Approved | no | ||
| Call Number | Admin @ si @ TSR2013 | Serial | 2231 | ||
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| Author |
Juan Ramon Terven Salinas; Joaquin Salas; Bogdan Raducanu | ||||
| Title | Robust Head Gestures Recognition for Assistive Technology | Type | Book Chapter | ||
| Year | 2014 | Publication | Pattern Recognition | Abbreviated Journal | |
| Volume | 8495 | Issue | Pages | 152-161 | |
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| Abstract | This paper presents a system capable of recognizing six head gestures: nodding, shaking, turning right, turning left, looking up, and looking down. The main difference of our system compared to other methods is that the Hidden Markov Models presented in this paper, are fully connected and consider all possible states in any given order, providing the following advantages to the system: (1) allows unconstrained movement of the head and (2) it can be easily integrated into a wearable device (e.g. glasses, neck-hung devices), in which case it can robustly recognize gestures in the presence of ego-motion. Experimental results show that this approach outperforms common methods that use restricted HMMs for each gesture. | ||||
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| Publisher | Springer International Publishing | Place of Publication | Editor | ||
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| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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| ISSN | 0302-9743 | ISBN | 978-3-319-07490-0 | Medium | |
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| Notes | LAMP; | Approved | no | ||
| Call Number | Admin @ si @ TSR2014b | Serial | 2505 | ||
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