Sexual Harassment

Sexual harassment research focuses on understanding and mitigating this pervasive issue, particularly its impact on women. Current research employs computer vision techniques, leveraging deep learning models like CNN-LSTM-MLP hybrids and other deep learning architectures, to automatically detect harassment from video data by analyzing visual cues such as facial expressions and physical contact. This work also utilizes data mining techniques to analyze the prevalence and impact of harassment across different demographics and contexts. These advancements aim to improve detection and prevention strategies, offering valuable insights for both scientific understanding and practical interventions.