Emotion-Induced Body Motion and Ground Reaction Force Data with Full-Body Motion Capture

This dataset contains comprehensive recordings of body motion and ground reaction forces collected during an experiment designed to study the effects of emotional stimuli on human movement. The experiment involved participants viewing emotionally charged movies while standing on a force plate, and their body motion was captured using a full-body motion-capture system. Experimental Setup: Participants: Individuals were exposed to different emotional conditions through a series of movies. Stations: Start Station: A force plate (OR6-7-2000 AMTI) where participants stood while watching the movies. Station A: A 55-inch TV screen, 2 meters from the force plate, where the movies and instructions were presented. Station B: A sitting station, 4 meters from Station A, where participants performed filler tasks between emotional conditions. Procedure: Participants moved between stations according to the experimental protocol. Body motion was recorded during movie viewing and walking phases, with special emphasis on post-movie emotional manipulation checks. Data Collection: Motion-Capture System: A total of 14 cameras (Oqus 300 and Oqus 500 by Qualisys) were used to track the body movements of participants. Marker Placement: 22 reflective markers were placed on key anatomical points (e.g., head, shoulders, elbows, wrists, hips, knees, ankles, toes, and heels) to capture a full-body model. Ground Reaction Forces: Data was captured via the force plate, recording forces and center of pressure (COP) at a rate of 120Hz while participants stood to watch the movies. Data Files: Subject Data: Each participant's data is stored in a dedicated folder with the naming convention _.. C3D Files: 3D motion capture data. QTM Files: Data from the Qualisys Track Manager. TSV Files: Tab-separated value files with force plate data and marker positions along three axes. Exp_data.xlsx: Contains metadata including subject IDs, trial numbers, corresponding emotions, age, gender, and questionnaire responses. Purpose: The dataset is designed to support research in biomechanics, emotion studies, and human movement analysis. It is particularly suited for studies aiming to understand the relationship between emotional states and physical movement patterns. Potential Uses: Analysis of emotion-induced changes in body motion and balance. Studying the impact of different emotional states on ground reaction forces. Development of machine learning models for emotion detection based on motion capture data. Multimodal analysis combining motion capture data with psychological assessments. Additional information can be found at DatabseIntro.docx Riemer, Hila, et al. "Emotion and motion: Toward emotion recognition based on standing and walking." Plos one 18.9 (2023): e0290564.