title: Smartphone based face recognition tool for the blind.
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.
authors.affiliation: Advanced Medical Electronics, Maple Grove, MN 55369, USA. kkramer@ame-corp.com
authors.forename: K M
authors.initials: KM
authors.lastname: Kramer
authors.forename: D S
authors.initials: DS
authors.lastname: Hedin
authors.forename: D J
authors.initials: DJ
authors.lastname: Rolkosky
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods*; D001766:Blindness / Q000534:rehabilitation*; D040421:Cell Phone; D005145:Face / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014741:Video Recording / Q000379:methods