ErgoLAB fNIRS EEG Wearable Multimodal Brain Imager

Self developed by Jinfa TechnologyThe ErgoLAB fNIRS EEG multimodal brain imaging device adopts innovative fNIRS EEG multi-sensor information fusion technology, which can simultaneously collect two signals of EEG and near-infrared in the same brain area, capturing the dual characteristics of cerebral blood oxygen metabolism dynamics and neural electrical activity in real time! Providing information from two different sources, namely hemodynamic responses and electrical signals, while also taking into account the complementary spatiotemporal resolution, it has the advantages of accurately capturing the spatiotemporal characteristics of brain activity, enhancing the correlation analysis of multimodal data, and improving the anti-interference ability of signals. It has good application prospects in cognitive neuroscience research and brain computer interfaces.

Product Features:

lby combiningThe high temporal resolution of EEG and the high spatial resolution of fNIRS provide a comprehensive view of brain activity.

lEnsure synchronous acquisition of EEG and blood oxygen signals from both software and hardware dimensions, facilitating analysis of the correlation between the two.

lThe device adopts intelligent wearable devices, making it easy to carry and use in various environments.

lThe device provides different channel configurations and supports customized development to meet different research purposes and needs.

lSupport synchronous collection and analysis with physiological data, eye movement data, motion capture data, etc., to meet the needs of multimodal evaluation.

lcompatibleBCI technology can accurately capture brain signals and efficiently convert them into control instructions, thereby achieving direct interaction between the human brain and external devices.

Product Parameters:

Application direction:

The system can be widely applied to scientific research in cognitive neuroscience, psychology, education science, human factors engineering, and other fields. It conducts research on inter brain cognitive synchronization from the aspects of perception, movement, information exchange, social decision-making, emotional communication, and emotion regulation in social interaction. It also applies research such as the relationship between multi person inter brain cognitive synchronization characteristics and behavioral performance in team tasks.

ErgoLAB multimodal synchronization scheme:

Overall Overview

The ErgoLAB human-machine environment synchronization platform adopts multimodal data clock synchronization technology, which can complete the complete experimental and evaluation process, including project management, experimental design, synchronous acquisition, signal processing, data analysis, human factors intelligence evaluation, and visual reporting. It supports group testing and big data management based on cloud architecture technology.

ErgoLAB human-computer environment synchronization platform adopts the method of subjective and objective combination of multimodal data synchronous acquisition and multi-dimensional verification. The types of data real-time synchronization include brain cognitive data (EEG/BCI EEG and brain computer interface edge computing equipment, fNIRS/BCI near-infrared brain imager), visual data (Eyetracker eye tracker and line of sight interaction system), physiological data (physiological instrument includes: GSR/EDA、EMG、ECG、EOG、HRV、RESP、TEMP/SKT、PPG、SpO2）， Behavioral observation, body movements and facial expressions (basic emotions, emotional valence, micro expressions, etc.) data, biomechanical data (tension, grip, pinch, pressure, etc.), human-computer interaction data (including human-computer interface interaction behavior data and corresponding keyboard operations, mouse clicks, hovering, entering and exiting, etc.; mobile terminal human-computer interaction behavior data and corresponding finger trajectory operation behaviors such as clicking, zooming, sliding, etc.; VR terminal interface human-computer interaction behavior data and corresponding two handed operation picking, discarding, and controlling, etc.), Objective quantitative data such as VR space walking trajectory, as well as multi type spatiotemporal behavior trajectory data collection (including real-time synchronized collection of indoor, outdoor, and VR environment walking trajectory, driving trajectory, access status, visual interaction, emotional response, interactive operation behavior, etc.), and workspace and workspace environment data (temperature, humidity, noise, lighting, atmospheric pressure, humidity, dust, etc.); Provide complete data indicators for scientific research and application.

ErgoAI Human Factors Intelligence：

Introducing artificial intelligence technology into human factors engineering research tools deepens the human factors engineering industry, allowing experimental environments to be unrestricted by a single device or data indicator, and collecting and analyzing people from different typical industries or disciplines-Obtain human behavior data in the natural state during the interaction process between the machine and the environment system, and obtain data that is closer to the real human state. The platform also provides functional modules covering the whole process of scientific research and experiments, including project management, experimental design, synchronous collection, data analysis, comprehensive statistics and visual reports, and provides a one-stop human factors+artificial intelligence solution for multimodal human-machine environment research in combination with ErgoAI human factor intelligence edge computing platform. The multimodal synchronous human factor intelligence solution with ErgoLAB human-computer environment synchronization platform and ErgoAI human factor intelligence edge computing platform as the core has greatly improved the reliability and validity of the experimental results, while saving research manpower, material resources and time, and improving the overall efficiency of research and evaluation.

based onThe ErgoAI Human Factors Intelligence Multi temporal Algorithm Base and Human Factors Engineering Human Machine Environment Database are used to construct pre training models for specific personnel states. Combined with highly flexible training program management functions, users can efficiently build and optimize models in a unified environment. Thus achieving accurate real-time assessment and warning of personnel status, such as load status, stress status, fatigue status, situational awareness, and attention ability.

Kingfar Company Introduction:

Beijing Jinfa Technology Co., Ltd. is a specialized and innovative key small giant, an intellectual property advantage enterprise, a high-tech enterprise, and a technology-based small and medium-sized enterprise; It includes technology research and development institutions such as Beijing Human Factors Intelligent Engineering Technology Research Institute and Beijing Human Factors Engineering Design Institute, and jointly builds multiple technology innovation platforms including Beijing Enterprise Technology Center, Beijing Undergraduate University Industry Research Deep Collaborative Education Platform, Suzhou Key Laboratory, Hunan Engineering Laboratory, Shandong Engineering Research Center, etc.

Jinfa Technology has undertaken and participated in multiple national key research and development programs, high-quality development projects of the Ministry of Industry and Information Technology, and national natural science foundations. Serving as the National Beacon CommitteeThe deputy leader unit of XR Extended Reality Standardization Group and the joint leader unit of Key Technology Group of Metaverse Standardization Working Group of the Ministry of Industry and Information Technology; Jinfa Science and Technology has innovated and developed home-made, autonomous and controllable human factor engineering and human factor intelligent edge computing series of information and innovation products and technologies, and has won a number of provincial and ministerial science and technology awards; Jinfa Technology has hosted and participated in the compilation of more than 20 international/national, industry/group standards, won more than 30 provincial and ministerial level new technology and product certifications, applied for over 500 international and national registered trademarks globally, and obtained over 130 national software copyrights; We have served as a demonstration application for higher education institutions and equipment technology industry research institutes across the country, and have supported domestic researchers and technology workers to publish over 1000 academic papers in both Chinese and English.