This paper proposes a novel LabVIEW based algorithm regarding the implementation of an eye-blinks strength controlled virtual keyboard aimed to help people with neuromotor disabilities. The application can be considered a brain-computer interface which is useful for the assistance of patients suffering from Locked-In syndrome or amyotrophic lateral sclerosis. A precise, repeatable and easily detectable control signal could be the eye-blink strength. The LabVIEW based virtual keyboard provides the following features: detection and counting the voluntary eye-blinks, switch command, select command, highlight action running in parallel with the previously mentioned processes, enabling cancel, delete and space commands. The working principle underlying the implementation of the proposed virtual keyboard is Divide and Conquer paradigm. Thus, it is possible the switching task across the rows, half rows and keys (characters) in order to select a row, half row, respectively key associated to the character that should be introduced in the text box.
This paper proposes a LabVIEW instrument aimed to design and control a 3D virtual robot arm using hand gestures translated into commands with the help of Leap Motion Controller. In order to acquire signals and translate them into basic swipe gesture commands, a LabVIEW toolkit was used. The application is useful for providing assistance for people with disabilities who cannot move or lack strong muscle strength. They can use the virtual simulation for training purpose in order to achieve the ability to control a real robot arm. Moreover, they have a visual feedback that sustains and adjusts their movements. The 3D model is a robot arm placed on a flat surface. Translation along two perpendicular directions in the base plan is allowed and also the rotation of its joints. The virtual robot arm can provide several benefits regarding moving to a target, grasping it and bringing it to the patient.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.