ABSTRACT
This chapter presents a new prototype of an electric wheelchair that considers assistive navigation system and health monitoring enablers within serious games interfaces that teaches the end-user to exploit the advantages of this type of wheelchair. However, other potential areas require further research, for instance, to detect and prevent diseases through Human Machine Interfaces (HMIs). In this regard, biometric signals research has provided assistive technology that could help users manage products using robotic systems through HMIs. Nonetheless, some of those products and HMIs require a certain degree of cognitive skills to use them properly and safely and according to the user’s needs. Thus, games with educational purposes, namely, serious games, into HMIs environments, allow individuals to understand better how to use them. Consequently, this chapter introduces an intelligent electric wheelchair that takes advantage of biometrics signals such as voice commands, head, and eye movements. It then processes them using artificial intelligence algorithms and integrates them into serious games HMIs to produce a smart navigation system. Besides, this proposal can be implemented in any conventional electric wheelchair and provide feedback related to the user-health condition by employing the signals as mentioned earlier.
