title: Design, development, and clinical evaluation of the electronic mobility cane for vision rehabilitation.
abstract: This paper proposes a new electronic mobility cane (EMC) for providing obstacle detection and way-finding assistance to the visually impaired people. The main feature of this cane is that it constructs the logical map of the surrounding environment to deduce the priority information. It provides a simplified representation of the surrounding environment without causing any information overload. It conveys this priority information to the subject by using intuitive vibration, audio or voice feedback. The other novel features of the EMC are staircase detection and nonformal distance scaling scheme. It also provides information about the floor status. It consists of a low power embedded system with ultrasonic sensors and safety indicators. The EMC was subjected to series of clinical evaluations in order to verify its design and to assess its ability to assist the subjects in their daily-life mobility. Clinical evaluations were performed with 16 totally blind and four low vision subjects. All subjects walked controlled and the real-world test environments with the EMC and the traditional white cane. The evaluation results and significant scores of subjective measurements have shown the usefulness of the EMC in vision rehabilitation services.
authors.forename: Shripad
authors.initials: S
authors.lastname: Bhatlawande
authors.forename: Manjunatha
authors.initials: M
authors.lastname: Mahadevappa
authors.forename: Jayanta
authors.initials: J
authors.lastname: Mukherjee
authors.forename: Mukul
authors.initials: M
authors.lastname: Biswas
authors.forename: Debabrata
authors.initials: D
authors.lastname: Das
authors.forename: Somedeb
authors.initials: S
authors.lastname: Gupta
mesh_terms: D000328:Adult; D001766:Blindness / Q000503:physiopathology / Q000534:rehabilitation*; D002183:Canes; D004582:Electronics, Medical / Q000295:instrumentation; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D008328:Man-Machine Systems; D008875:Middle Aged; D009949:Orientation; D010363:Pattern Recognition, Automated / Q000379:methods; D012656:Self-Help Devices; D012682:Sensory Aids; D014463:Ultrasonography / Q000295:instrumentation*; D059015:Wireless Technology / Q000295:instrumentation*