Select a database below. Each database page includes: dataset overview, a blank License Agreement PDF template, and an external application link (for submitting info and uploading the signed agreement).
A spontaneous micro-expression database. From ~1500 elicited facial movements recorded at 60 fps, 195 micro-expressions were selected and annotated with onset/peak/offset frames, action units (AUs), and emotion labels.
An improved micro-expression database with higher temporal resolution (200 fps) and facial area resolution (~280×340). 247 micro-expressions were selected from nearly 3000 facial movements, with AU and emotion labels and baseline evaluation.
A database containing both macro- and micro-expressions in long videos. It provides long videos (Part A) and cropped samples (Part B), with labels based on AUs, self-reported emotion for each facial movement, and the emotion types of eliciting videos.
A large-scale spontaneous ME database with ~80 hours of videos (>8,000,000 frames), including 1,109 micro-expressions and 3,490 macro-expressions. It additionally provides depth modality and a large set of unlabeled videos for unsupervised methods.
A database with micro-expression videos and facial electromyography (EMG). Videos were captured in 4K (3840×2160) at 30 fps; EMG signals were collected from 7 superficial muscles. It contains 147 macro- and 233 micro-expression samples with keyframes, AUs, and emotion labels.
The largest Chinese dysarthria dataset to date, featuring 133 hours of recordings from 44 speakers, developed to support dysarthric speech recognition research and benchmarks (CER).