DocumentCode :
2917089
Title :
Smartphone based face recognition tool for the blind
Author :
Kramer, K.M. ; Hedin, D.S. ; Rolkosky, D.J.
Author_Institution :
Adv. Med. Electron., Maple Grove, MN, USA
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
4538
Lastpage :
4541
Abstract :
The inability to identify people during group meetings is a disadvantage for blind people in many professional and educational situations. To explore the efficacy of face recognition using smartphones in these settings, we have prototyped and tested a face recognition tool for blind users. The tool utilizes Smartphone technology in conjunction with a wireless network to provide audio feedback of the people in front of the blind user. Testing indicated that the face recognition technology can tolerate up to a 40 degree angle between the direction a person is looking and the camera´s axis and a 96% success rate with no false positives. Future work will be done to further develop the technology for local face recognition on the smartphone in addition to remote server based face recognition.
Keywords :
face recognition; handicapped aids; mobile handsets; vision defects; audio feedback; blind people; camera; face recognition; smartphones; wireless network; Cameras; Cellular phones; Databases; Face; Face recognition; Prototypes; Testing; Algorithms; Biometry; Blindness; Cellular Phone; Face; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Video Recording;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5626038
Filename :
5626038
Link To Document :
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