Science and Technology Daily reporter in Russia
Being able to have a self-controlled mobility wheelchair like Stephen Hawking is a dream for many physically handicapped people, but its high cost is prohibitive. However, in the view of Professor Ye Ghani Chebin, director of the Robotics Laboratory of the Moscow Institute of Engineering Physics at the Russian National Institute of Nuclear Research, it is not a matter of throwing away the complicated language input system. In the future, ordinary people have a brain-controlled mobility wheelchair. Difficult.
Brainwave + voice + gesture to achieve intelligent control of wheelchair
Professor Chebbin said that the original intention of the study was to provide wheelchair control without the need for a joystick for people with disabilities who have lower limbs and have weak or complete upper limb function. The researchers modified a Titan LY-103-120 electric wheelchair with a computerized control system that allows users to control their wheelchairs by wearing a brain-computer interface technology (BCI) helmet, voice commands, and gesture commands. .
Since the user has at least one mode of operation, why choose three kinds of instructions to share, how do these instructions do not interfere with each other?
Project leader Gleb explained that the choice of three instruction sharing is to improve the accuracy and speed of control. For example, the user can use brain waves to control forward and backward, and gestures to control steering. There is a parallel relationship between the three instructions, and there is no one priority instruction. When there is a conflict between the instructions, the system determines which instruction conforms to the user's true intention. Therefore, writing an algorithm for judging three instructions is the key to the project's research.
Modular design + learning function to create a proprietary system for users
Gleb said that in the future, when the system is actually applied, the operation mode will be adjusted according to the specific conditions of each patient, and one or more instructions will be selected. The same system software can be shared regardless of the operating mode selected. Regardless of the combination, brain control is the main mode of operation; the voice command system includes voice recognition and feedback functions. To ensure stability and avoid implanting the back door, the system is Java open source software; the gesture command system is written in C# language. Recognizing 2D and 3D gestures pre-stored in the database, it also supports self-built gestures. Considering the physical functions of different patients, the system supports both the large gesture of the arm wrist and the small gesture of the finger.
Since each person has obvious differences in brain waves when the same instruction is issued, the system needs to learn and calibrate the user's brain waves before use to improve the handling accuracy and correctly identify the user's intention.
Thanks to the modular design and strong learning ability, the development cost and debugging time can be effectively reduced in practical applications, and the user can quickly create a dedicated wheelchair operating system. At the same time, its design and production costs will be significantly reduced. According to preliminary estimates, after the large-scale production in the future, the price of each wheelchair operating system is expected to be controlled within 5,000 to 10,000 US dollars.
Mental state monitoring + remote control to ensure user safety
Professor Chebin introduced that the safety of brain-controlled wheelchairs is the focus of project research. The future control system will monitor the user's psychological state in real time. When completing the instruction, it will consider whether the user is active, negative or neutral when giving instructions. If the instruction is issued under negative emotion, the system will reduce its trust level until it is cut off. control. In the future, it is planned to establish a brain control wheelchair remote control center to transmit the monitoring data of each wheelchair to the server through the UDP protocol. If necessary, remote control can be adopted to replace the user's own control to avoid danger.
Professor Chebin introduced that according to the project plan, the 2016 brain control wheelchair project will complete the data model design, and use the data model to collect three kinds of control command big data information, and further improve the system identification instruction and monitor the psychological state through big data analysis. Sex. In the next six months to one year, people with disabilities will be invited to conduct practical use tests and design in specialized medical institutions, and finally obtain relevant institutional certifications and production licenses. If the brain-controlled wheelchair project is successful, the team will also research other brain control devices for people with disabilities.
(Technology Daily, Moscow, June 12th)
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