Title: A human inspired cognitive wheelchair navigation system
Author: Naveen Kumar Malik; V.R. Singh
Department of Electronics and Communication, University Institute of Engineering and Technology, Maharishi Dayanand University, Delhi Bypass, Rohtak, Haryana – 124001, India
National Physical Laboratory, New Delhi 110012, India; PDM Educational Institutions, Bahadurgarh, Haryana, India
Journal: Int. J. of Human Factors Modelling and Simulation, 2016 Vol.5, No.3, pp.263 - 284
Abstract: This paper proposes a novel approach to impart cognition to wheelchair navigation system (WNS). The cognitive engineering for WNS is to incorporate advance wheelchair user assistance features for autonomous functions. The simplified top level schematic human brain model for navigation computing is developed. From this developed model, a novel human inspired cognitive cycle (HICS) is proposed that consists of six acts. On the basis of HICS, a theoretical model for cognitive wheelchair navigation system (CWNS) is developed. The proposed top level theoretical CWNS model provides general framework for technical implementation of autonomous wheelchair navigation system. The three new approaches to artificial intelligence, namely: HICS, SIE and CWNS are introduced in this paper. The prototype realisation of proposed CWNS theoretical model has been done using 8051 microcontroller as cognitive embedded system (CES). It has intelligent of obstacle avoidance and distress user command avoidance using logics of the 8051 microcontroller coding. The working response of proposed model has been compared with existing models on the basis of possible health condition and impairments associated with wheelchair users.
Keywords: cognition; wheelchair navigation systems; WNS; cognitive engineering; advanced user assistance; brain modelling; human inspired cognitive cycle; HICS; scientific inference engine; SIE; cognitive embedded system; CES; assistive technology; artificial intelligence; obstacle avoidance; distress avoidance; microcontrollers; wheelchair users.
Available online 06 Oct 2016