Kinect cane: An assistive system for the visually impaired based on three-dimensional object recognition

This paper proposes a novel assistive system for the visually impaired. The system is composed of a Microsoft Kinect sensor, keypad-type controller, tactile device, laptop computer and so on. The system can recognize three-dimensional objects from depth data generated by the Kinect sensor, and inform visually impaired users not only about the existence of objects, but also about their classes such as chairs and upward stairs. Ordinarily, the system works as a conventional white cane. When a user instructs the system to find the object of a particular class, the system executes the recognition scheme that is designed to find the instructed object. If the object is found in the field of view of the Kinect sensor, the tactile device provides vibration feedback. The recognition schemes are applied to actual scenes. The experimental results indicate that the system is promising as means of helping the visually impaired find the desired objects.

[1]  Barry R. Masters,et al.  Digital Image Processing, Third Edition , 2009 .

[2]  Thomas H. Massie,et al.  The PHANToM Haptic Interface: A Device for Probing Virtual Objects , 1994 .

[3]  Iwan Ulrich,et al.  The GuideCane-applying mobile robot technologies to assist the visually impaired , 2001, IEEE Trans. Syst. Man Cybern. Part A.

[4]  Ariffin Abdul Mutalib,et al.  Smart Cane: Assistive Cane for Visually-impaired People , 2011, ArXiv.

[5]  D. Bolgiano,et al.  A laser cane for the blind , 1967 .

[6]  Zhigang Zhu,et al.  KinDectect: Kinect Detecting Objects , 2012, ICCHP.

[7]  Ramiro Velazquez,et al.  Intelligent Glasses: A New Man-Machine Interface Concept Integrating Computer Vision and Human Tactile Perception , 2003 .

[8]  Yoshiaki Shirai,et al.  Three-Dimensional Computer Vision , 1987, Symbolic Computation.

[9]  Sazali Yaacob,et al.  A Stereo Image Processing System for Visually Impaired , 2008 .

[10]  G. Medioni,et al.  RGB-D camera Based Navigation for the Visually Impaired , 2011 .

[11]  Eiichirou Tanaka,et al.  Development of a guide-dog robot: human–robot interface considering walking conditions for a visually handicapped person , 2011 .

[12]  Sazali Yaacob,et al.  Wearable Real-Time Stereo Vision for the Visually Impaired , 2007, Eng. Lett..

[13]  Hideo Mori,et al.  On-line vehicle and pedestrian detections based on sign pattern , 1994, IEEE Trans. Ind. Electron..

[14]  J. Borenstein,et al.  The NavBelt-a computerized travel aid for the blind based on mobile robotics technology , 1998, IEEE Transactions on Biomedical Engineering.

[15]  Nikolaos G. Bourbakis,et al.  Wearable Obstacle Avoidance Electronic Travel Aids for Blind: A Survey , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[16]  Hinrich Schütze,et al.  Introduction to information retrieval , 2008 .

[17]  John Nicholson,et al.  RFID in robot-assisted indoor navigation for the visually impaired , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[18]  Harald Reiterer,et al.  NAVI - A Proof-of-Concept of a Mobile Navigational Aid for Visually Impaired Based on the Microsoft Kinect , 2011, INTERACT.

[19]  Yoshihiro Kawai,et al.  A support system for visually impaired persons to understand three-dimensional visual information using acoustic interface , 2002, Object recognition supported by user interaction for service robots.

[20]  J M Benjamin The laser cane. , 1974, Bulletin of prosthetics research.

[21]  Mitsuhiro Okayasu Newly developed walking apparatus for identification of obstructions by visually impaired people , 2010 .

[22]  Tadao Kawai,et al.  Walking guide interface mechanism and navigation system for the visually impaired , 2011, 2011 4th International Conference on Human System Interactions, HSI 2011.

[23]  D. N. Rao,et al.  Effect of Smaller Output Horizon in Neural Generalized Predictive Control , 2007, Eng. Lett..