LSTM

A type of recurrent neural network architecture designed to learn long-term dependencies in sequential data by using special gating mechanisms that control the flow of information through the network. LSTMs are particularly effective for processing time-series data such as accelerometer readings from wearable devices, speech signals, and sign language video sequences. In accessibility applications, LSTM models are used for activity recognition, gesture detection, and speech processing, often combined with convolutional layers (LSTM-CNN) to capture both temporal and spatial features in sensor data.