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Smart Cane: Face Recognition System for Blind

Published: 21 October 2015 Publication History

Abstract

We propose a smart cane with a face recognition system to help the blind in recognizing human faces. This system detects and recognizes faces around them. The result of the detection is informed to the blind person through a vibration pattern. The proposed system was designed to be used in real-time and is equipped with a camera mounted on the glasses, a vibration motor attached to the cane and a mobile computer. The camera attached to the glasses sends image to mobile computer. The mobile computer extracts features from the image and then detects the face using Adaboost. We use the modified census transform (MCT) descriptor for feature extraction. After face detection, the information regarding the detected face image is gathered. We used compressed sensing with L2-norm as a classifier. Cane is equipped with a Bluetooth module and receives a person's information from the mobile computer. The cane generates vibration patterns unique to each person as to inform a blind person about the identity of the detected person using the camera. Hence, the blind people can know the person standing in front of them.

References

[1]
Barr, M. Pulse width modulation. Embedded Systems Programming 14, 10 (2001), 103--104.
[2]
Chumkamon, S., Tuvaphanthaphiphat, P., and Keeratiwintakorn, P. A blind navigation system using RFID for indoor environments. In nternational Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, (2008), 765--768.
[3]
Faria, J., Lopes, S., Fernandes, H., Martins, P., and Barroso, J. Electronic white cane for blind people navigation assistance. In World Automation Congress (WAC), (2010), 1--7.
[4]
Froba, B., and Ernst, A. Face detection with the modified census transform. In IEEE International Conference on Automatic Face and Gesture Recognition, (2004), 91--96.
[5]
Narisawa, T., Tobe, M., and Ashizawa, T. Vibration motor Google Patents, (1997).
[6]
Shi, Q., Eriksson, A., Van Den Hengel, A., and Shen, C. Is face recognition really a compressive sensing problem? In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (2011), 553--560.
[7]
Vasiliev, P. E., Dvornin, V. S., Kondratiev, A. V., and Kravchenko, V. F. Vibration motor Google Patents, (1980).
[8]
Viola, P., and Jones, M. Rapid object detection using a boosted cascade of simple features. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, (2001), I-511-I-518 vol. 51
[9]
Yoon, J., and Kim, D. Frontal face classifier using AdaBoost with MCT features. In International Conference on Control Automation Robotics&Vision, (2010), 2084--2087.
[10]
Zhao, W., Chellappa, R., Phillips, P. J., and Rosenfeld, A. Face recognition: A literature survey. Acm Computing Surveys (CSUR) 35, 4 (2003), 399--458.

Cited By

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  • (2024)AI-Vision: A Three-Layer Accessible Image Exploration System for People with Visual Impairments in ChinaProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785378:3(1-27)Online publication date: 9-Sep-2024
  • (2024)Help Supporters: Exploring the Design Space of Assistive Technologies to Support Face-to-Face Help Between Blind and Sighted StrangersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642816(1-24)Online publication date: 11-May-2024
  • (2024)Perspectives on Robotic Systems for the Visually ImpairedCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640698(1134-1138)Online publication date: 11-Mar-2024
  • Show More Cited By

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Published In

cover image ACM Other conferences
HAI '15: Proceedings of the 3rd International Conference on Human-Agent Interaction
October 2015
254 pages
ISBN:9781450335270
DOI:10.1145/2814940
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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  • BESK: Brain Engineering Society of Korea

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 October 2015

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Author Tags

  1. face detection
  2. face recognition
  3. human assistance system
  4. real-time system

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  • Research-article

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HAI 2015
Sponsor:
  • BESK
HAI 2015: The Third International Conference on Human-Agent Interaction
October 21 - 24, 2015
Kyungpook, Daegu, Republic of Korea

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Overall Acceptance Rate 121 of 404 submissions, 30%

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Cited By

View all
  • (2024)AI-Vision: A Three-Layer Accessible Image Exploration System for People with Visual Impairments in ChinaProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785378:3(1-27)Online publication date: 9-Sep-2024
  • (2024)Help Supporters: Exploring the Design Space of Assistive Technologies to Support Face-to-Face Help Between Blind and Sighted StrangersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642816(1-24)Online publication date: 11-May-2024
  • (2024)Perspectives on Robotic Systems for the Visually ImpairedCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640698(1134-1138)Online publication date: 11-Mar-2024
  • (2022)“I Shake The Package To Check If It’s Mine”Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502063(1-15)Online publication date: 29-Apr-2022
  • (2021)Regulating Personal Cameras for Disabled People and People with Deafblindness: Implications for HCI and Accessible ComputingProceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3441852.3476471(1-6)Online publication date: 17-Oct-2021
  • (2020)Pedestrian Detection with Wearable Cameras for the BlindProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376398(1-12)Online publication date: 21-Apr-2020
  • (2019)GesturePodProceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology10.1145/3332165.3347881(403-415)Online publication date: 17-Oct-2019
  • (2017)Wearable social prostheticsProceedings of the 2017 ACM International Symposium on Wearable Computers10.1145/3123021.3123036(168-169)Online publication date: 11-Sep-2017

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