ErgoAI Brain Computer Interface System

ErgoAI Brain Computer Interface System

ErgoAI Brain Computer Interface SystemIt is a system platform independently developed and configured by Beijing Jinfa Technology Co., Ltd. based on technologies such as electroencephalography, near-infrared brain functional imaging, and artificial intelligence. The system combines cutting-edge neural measurement technology, scientific research methods, and field application directions, and can be used for teaching, research, application, and technology development related to brain computer interfaces.

ErgoAI Brain Computer Interface SystemIt consists of ErgoLAB experimental design and paradigm platform, EEG and near-infrared brain imaging measurement system, ErgoLAB machine learning model training platform, and brain computer interface example library. The ErgoLAB experimental design and paradigm platform can provide a timeline based visualization experimental design function, compatible with various types of stimuli such as images, audio and video, and text. It can achieve multi timeline and intra group, inter group, and mixed design, support sequential presentation, random presentation, random sampling presentation, and repeated presentation of stimuli, and meet the operation of various experimental designs.

At the same time, the ErgoLAB experimental design and paradigm platform also provides an experimental paradigm model library, including a large number of commonly used experimental paradigms such as Go/Logo tasks, Oddball paradigms, N-back paradigms, Stroop paradigms, etc., which can be directly used for task testing.

The EEG and near-infrared brain imaging measurement system can provide high-precision, high-density neural measurements or wireless wearable brain functional imaging according to the needs of researchers, compatible with different experimental and application scenarios and tasks.

The ErgoLAB machine learning model training platform provides data processing and feature extraction functions for EEG and near-infrared brain imaging, and can be combined with machine learning algorithms to achieve model training. At the same time, all raw data supports online transmission and offline export, making it convenient for researchers to conduct custom analysis and algorithm development.

The brain computer interface example library contains multiple types of brain computer interface demonstration examples, each of which includes theoretical background knowledge, sample introduction, operation process introduction, analysis methods and result discussion, and can be directly used for brain computer interface related teaching and experimental courses.

1. Design of Brain Computer Interaction Experiment

Based on ErgoLAB experimental design and paradigm platform, it provides experimental paradigm model library and personalized experimental design function, and is compatible with third-party software such as E-prime to stimulate compilation software.

2. EEG and near-infrared brain imaging data acquisition

Provide different types of brain functional imaging systems to meet the needs of various applications such as teaching, scientific research, and technological development. For example, high-precision and high-density brain functional imaging systems can provide * data quality, meet the research needs in the laboratory, or develop and validate algorithms based on neural measurement data; The wireless wearable brain functional imaging system can adapt to various indoor, outdoor and other environments, and achieve the integration of brain computer interface systems with different application directions while ensuring data quality.

3. EEG and near-infrared brain imaging signal processing and data analysis

The ErgoLAB EEG and near-infrared brain imaging data analysis module is equipped with commonly used signal processing and data analysis algorithms. Researchers can achieve batch data processing and feature value extraction by setting parameters.

4. Training of Brain Computer Interaction Algorithm Model

The ErgoLAB machine learning model training platform combines experimental design, signal processing, and feature extraction functions to achieve online/offline machine learning model training based on EEG and near-infrared brain imaging.

5. Teaching demonstration of brain computer interface

The brain computer interface example library provided by the system includes various types of classic brain computer interface demonstration examples and related technical and operational documents, which can be directly used for teaching and experimental courses.

Based on laboratory construction, Jinfa Technology can provide scientific research support and joint experimental services, aiming to combine new technologies and methods with usability testing research to promote the output and implementation of field achievements; Combining industry university research cooperation models to promote the incubation of more new technologies and products in industries, fields, and specialties. In the field of human-computer interaction and usability testing, Jinfa Technology has collaborated with multiple universities and enterprise users across the country for scientific research support or joint experiments, and has published over ten papers in both Chinese and English.

Beijing Jinfa Technology Co., Ltd. is a high-tech enterprise, a technology-based small and medium-sized enterprise recognized by the Ministry of Science and Technology, and a Zhongguancun high-tech enterprise, with independent import and export operation rights; The independently developed technologies, products, and services related to human factors engineering and ergonomics have won multiple provincial and ministerial level scientific and technological awards, national inventions, national software copyrights, and provincial and ministerial level new technology and new product (service) certifications; We have passed multiple international certifications and national explosion-proof certifications, including European CE, American FCC, EU RoHS, ISO9001, ISO14001, OHSAS18001, etc. Jinfa Technology has established an academic research team, technical team, and R&D team specializing in human factors engineering. Through years of industry university research cooperation with research institutions and universities, it has accumulated multiple core technologies in the fields of human factors and ergonomics, as well as state recognition and human-machine efficiency evaluation techniques and research methods based on artificial intelligence algorithms such as machine learning. It is a domestic center for human factors engineering technology innovation! The laboratory planning and construction technical team of Jinfa Technology provides technical support and after-sales service, covering the entire lifecycle of laboratory construction from planning and layout to equipment training and guidance from multiple perspectives.