Weight Controlled Electric Skateboard

Technology and the way that humans interact is becoming more vital and omnipresent with every passing day. However, human interface device designers suffer from the increasingly popular “designed for me or people like me” syndrome. This design philosophy inherently limits accessibility and usability of technology to those like the designer. This places severe limits of usability to those who are not fully able as well as leaves non-traditional human interface devices unexplored. This project set out to explore a previously uncharted human interface device, on an electric skateboard, and compare it send user experience with industry leading human interface devices

A Framework for Mouse Emulation that Uses a Minimally Invasive Tongue Palate Control Device utilizing Resistopalatography

The ability to interface fluently with a robust Human Input Device is a major challenge facing patients with severe levels of disability. This paper describes a new method of computer interaction utilizing Force Sensitive Resistor Array Technology, embedded into an Intra-Oral device (Resistopalatography), to emulate a USB Human Interface Device using standard Drivers. The system is based around the patient using their tongue to manipulate these sensors in order to give a position and force measurement; these can then be analyzed to generate the necessary metrics to control a mouse for computer input

SmartState: A Protocol-driven Human Interface

Since the inception of human research studies, researchers must often interact with participants on a set schedule to collect data. Researchers manually perform many interactions, leading to considerable time and financial expenses. Usually, user-provided data collection consists of surveys administered via telephone or email. These methods are tedious for the survey administrators, which could cause fatigue and potentially lead to collection mistakes. This project leverages recent advancements in automatic speech recognition, speech-to-text, natural language understanding (NLU), and finite-state machines to automate research protocols. This generalized application is fully customizable and irrespective of any research study. New research protocols can be quickly created based on these parameters once envisioned. Thus, we present SmartState, a fully-customizable, state-driven protocol manager combined with supporting AI components to autonomously manage user data and intelligently determine users' intentions through chat and end-device interactions.Comment: 8 pages, 8 figure