Benchmarking Micro-Action Recognition: Dataset, Methods, and Applications

Micro-action is an imperceptible non-verbal behaviour characterised by low-intensity movement. It offers insights into the feelings and intentions of individuals and is important for human-oriented applications such as emotion recognition and psychological assessment. However, the identification, differentiation, and understanding of micro-actions pose challenges due to the imperceptible and inaccessible nature of these subtle human behaviors in everyday life. In this study, we innovatively collect a new micro-action dataset designated as Micro-action-52 (MA-52), and propose a benchmark named micro-action network (MANet) for micro-action recognition (MAR) task. Uniquely, MA-52 provides the whole-body…

• NN
  National Natural Science Foundation of China

  Awards: 62272144, U20A20183, 62020106007, 72188101
• NK
  National Key Research and Development Program of China

  Award: 2022YFB4500600