Four-wheel independent driving intelligent car system controlled by brain waves and control method thereof

A four-wheel independent drive, intelligent car technology, applied in the control/regulation system, non-electric variable control, signal transmission system and other directions, can solve the problem of not being able to flexibly control the car in all directions, and unable to ensure that the instructions are completely correct, etc. The effect of flexible use of space

Inactive Publication Date: 2017-08-18
SOUTHEAST UNIV
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Problems solved by technology

The existing patents on EEG-controlled cars, such as patent CN204833871U, simply control the speed of the car on the track by collecting the concentration of the brain, and cannot be used in the trackless mode to achieve flexible co

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  • Four-wheel independent driving intelligent car system controlled by brain waves and control method thereof
  • Four-wheel independent driving intelligent car system controlled by brain waves and control method thereof
  • Four-wheel independent driving intelligent car system controlled by brain waves and control method thereof

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with the accompanying drawings.

[0030] figure 1 It is a block diagram of the overall composition of the present invention, including an EEG signal acquisition module, an EEG signal processing module, a data transmission module and a car control and drive module. The four-wheel independently driven smart car in the present invention includes a common car, four DC motors, an analog boost circuit board, a motor drive circuit board, an STM32 controller and four ultrasonic sensors. The four DC motors are connected to the analog boost circuit board through the motor drive circuit board to control the independent drive of the four wheels of the car, thereby realizing four movement modes of the car: forward, backward, left turn, right turn, and the analog boost circuit board and STM32 controller connection; the circuit diagram of the analog boost circuit board is as follows Figure 5 As shown, the analog b...

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Abstract

The invention discloses a four-wheel independent driving intelligent car system controlled by brain waves and a control method thereof. The system comprises an electroencephalogram (EEG) signal acquisition cap, an EEG signal processing program and a driving control system of a four-wheel independent driving electric car. A user makes corresponding motor imagery for different driving instructions. An electroencephalogram signal is extracted through the EEG acquisition cap and is transmitted to a computer. The computer carries out preprocessing, feature extraction and classification on the received EEG signal. A classification result is used as an instruction and is sent to the electric card driving control system through a wireless communication module. An intelligent electric car of four-wheel independent driving system fault tolerance stability control is realized according to a user brain wave processing result as an execution instruction. According to the system and the control method, the movement range of disabled people with severe dyskinesia can be greatly expanded, at the same time the system and the method can be used for training a motor imagery recognition system, a human-car interaction mode is provided for a user to access an automatic driving vehicle system, and the system and the method have good development and application prospects.

Description

technical field [0001] The invention relates to the BCI field and the control field, in particular to a brainwave-controlled four-wheel independently driven intelligent car system and a control method thereof. Background technique [0002] By the end of 2015, the number of disabled people in China had reached 85 million. How to ensure the mobility of disabled people and improve the quality of life of disabled people has become a social problem that needs to be solved urgently. With the continuous maturity of BCI technology, brainwave control of cars has become an option for assisted driving. Nowadays, the collection, analysis and processing of brain signals can reflect the brain's concentration, relaxation, imaginary actions and many other information. Among them, the extraction analysis and concentration of imaginary action potential can be transformed into the control information of the car. In recent years, the field of unmanned vehicles has developed vigorously, and br...

Claims

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Application Information

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IPC IPC(8): G05D1/02G08C17/02A61B5/0478
CPCA61B5/291G05D1/0255G08C17/02
Inventor 周晨光殷国栋庄佳宇龚蕾张德明杨宇峰赵恒陈明惠张立然
Owner SOUTHEAST UNIV
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