A Human-Machine Interface for Electronic Assistive Technologies

Abstract

Human-machine interaction (HMI) refers to the two-way exchange of information and actions between a human and a machine via the latter's user interface. Gestures and other forms of natural user interfaces are becoming increasingly popular because they allow humans to interact with technology in ways that feel more natural to them. Gesture-based HMI uses a sensor like the Microsoft Kinect to detect human motion and posture, which is then translated into machine input. Using Kinect's data—which includes RGB (red, green, and blue), depth, and skeleton information—to recognize meaningful human motions is the core function of gesture-based HMI. This article provides an introduction of electronic assistive technologies (EATs) and discusses the importance of human-machine interfaces (HMIs) in their development. HMIs for EATs must consider accessibility, personalization, safety, and user-centered design elements to meet the needs and preferences of users with disabilities or limited mobility. There are benefits and drawbacks to using each type of human-machine interface currently in use, such as brain-computer interfaces, touchscreens, switches, and sensors, and voice recognition software. Good design has the potential to increase the usability and performance of these technologies, as evidenced by studies of successful HMIs in EATs. Constant research and improvement of HMIs for EATs is necessary to increase accessibility and quality of life for people with impairments or restricted mobility.