Glossary

Search results

Machine Teaching(also: Interactive Machine Teaching)

A paradigm in human-computer interaction where non-expert users guide the training of machine learning models through interactive feedback, such as providing examples, labels, or corrections. Unlike traditional machine learning where data scientists prepare datasets and tune…

Mapping by Demonstration

A personalisation technique for gestural and sensor-based interfaces in which the system learns the relationship between user input (movement, breath, gaze) and output (sound, visuals, commands) from examples the user provides, rather than from designer-authored rules. The…

Markov Logic Networks(also: MLN, MLNs)

A machine learning framework that combines first-order logic with probabilistic graphical models to handle uncertainty in rule-based reasoning. In assistive technology contexts, MLNs enable context-aware systems to make intelligent decisions by weighing multiple factors—such as…

Mel Spectrogram(also: Mel-frequency Spectrogram, Log Mel Spectrogram)

A visual representation of sound that maps audio frequencies onto the mel scale, which approximates how humans perceive pitch — compressing higher frequencies and expanding lower ones to match the non-linear sensitivity of human hearing. Mel spectrograms convert audio signals…

Meta-learning(also: Learning to Learn)

A branch of machine learning where models are trained to learn new tasks from very few examples by leveraging knowledge gained from previous tasks. In accessibility applications, meta-learning enables technologies like teachable object recognizers that can quickly adapt to…

Mixture of Experts(also: MoE)

Mixture of experts is a neural network architecture that routes each input through a small subset of specialist subnetworks ('experts') rather than activating the whole model. A gating network decides which experts handle a given token or query, letting the overall model be much…

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…

8 results.