Multimodal Activity Recognition

Multimodal Activity Recognition is a technology that integrates multiple sensory modalities (such as visual, audio, and sensor data) with the aim of accurately recognizing and understanding human activities through means like computer vision. Its goal is to achieve cross-modal data fusion and analysis, thereby enhancing the accuracy and robustness of activity recognition. This technology has significant application value in areas such as intelligent surveillance, human-computer interaction, and healthcare, effectively supporting behavioral analysis and decision-making in complex environments.