ErgoLAB Management Behavior LaboratoryDesign: Combined with the ErgoLAB human-machine environment testing cloud platform experimental design module, professional experimental design can be carried out based on different experimental environments, including standard laboratory environments, physical environment simulation environments, virtual reality environments, and real on-site environments, targeting test objects such as images, audio, text, videos, web pages, apps, VR prototypes, HMI interfaces, etc; At the same time, the platform has a library of subjective evaluation models such as questionnaires, scales, and behavioral experimental paradigms.

Data synchronization collection: Through the ErgoLAB human-machine environment synchronization cloud platform, subjective and objective multimodal data can be synchronously collected, including EEG and functional brain imaging data, multi-channel physiological data of the human body, eye tracking data, behavior and facial expression data, motion capture data, biomechanical data, etc. From visual attention preferences, physiological stress relief, behavioral performance, subjective emotional experience, human-computer interaction and other data. Synchronized collection of multidimensional data can provide stronger support for research, enrich research content, and broaden research dimensions.

Data analysis: The subjective and objective multimodal data collected through the ErgoLAB human-machine environment synchronization cloud platform can be further analyzed and processed through the platform. The platform provides various signal processing algorithms, and researchers can adjust them according to their own research needs to complete data analysis. In addition, raw data, processed data, and data reports can all be exported through the platform. Customized development of related functions can be carried out according to the needs of researchers.

State recognition and model training: Researchers can combine machine learning algorithms and use the multimodal subjective and objective data collected by the ErgoLAB human-machine environment synchronization cloud platform for algorithm model training and personnel state recognition research and application.