Glossary

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Meal Assistance Technology(also: Dining Assistance Technology, Food Accessibility Technology)

Assistive technologies designed to help people with disabilities identify, locate, and consume food independently during mealtimes. For people with visual impairments, these systems may use computer vision to recognize dishes, voice interfaces to provide information about food…

MediaPipe

An open-source framework by Google for building multimodal machine learning pipelines, commonly used for real-time face, hand, and body tracking. In accessibility applications, MediaPipe Holistic extracts 3D landmarks from the user's body and hands via webcam, while MediaPipe…

Microsoft Kinect(also: Kinect, Kinect sensor)

A motion-sensing device that captures RGB video, depth images, and skeletal tracking data simultaneously. Originally developed for gaming, the Kinect became widely adopted in accessibility research due to its affordable price point (compared to laboratory equipment) and ability…

Motion Capture(also: MoCap, Movement Tracking)

Technology that records the movements of people or objects, typically using cameras, sensors, or computer vision, and translates them into digital data for animation or analysis. In sign language applications, motion capture tracks hand, body, and facial movements to drive…

Motion History Image(also: MHI)

A computer vision technique that represents motion in video sequences as a single grayscale image, where pixel intensity indicates recency of movement. Brighter pixels represent more recent motion while darker pixels show older movement patterns. In accessibility applications,…

Multimodal Features(also: multimodal data, multimodal fusion)

Information extracted from multiple sensory channels or data types—such as combining visual (RGB), depth, audio, and skeletal data—to improve recognition accuracy. In accessibility systems, multimodal approaches often outperform single-modality methods because different data…

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