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Low-speed automatic drive intelligent wheelchair construction method based on bio-electric signal control

A bioelectric signal and automatic driving technology, applied in non-electric variable control, control/adjustment system, two-dimensional position/channel control, etc., to ensure safe driving, good application prospects, improve self-management ability and life happiness Effect

Inactive Publication Date: 2018-09-14
CHONGQING NORMAL UNIVERSITY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the short-distance travel needs of people with disabilities, the technical problem to be solved by the present invention is to provide a method for constructing a low-speed automatic driving intelligent wheelchair based on bioelectrical signal control, so as to meet the actual traffic use requirements of automatic driving wheelchairs

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  • Low-speed automatic drive intelligent wheelchair construction method based on bio-electric signal control
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Embodiment Construction

[0034] see Figure 1 to Figure 2 , a method for constructing a low-speed automatic driving intelligent wheelchair based on bioelectrical signal control, comprising the following steps:

[0035] S1: Use the physiological recorder to synchronously collect the driver's multi-channel EEG and EMG signals to obtain the driver's high-dimensional bioelectrical signal components.

[0036] S2: Construct a deep learning model: take the driver's high-dimensional bioelectrical signal component obtained in step S1 as input, construct a deep learning model, obtain the driver's driving intention, and input it into step S4.

[0037] S3: Based on the vision system, lidar system, and millimeter-wave radar system on the autonomous driving wheelchair, the current environmental information is collected synchronously, and a real-time environmental safety assessment map is constructed, and input into step S4.

[0038]Among them, the vision system collects image information in front of the wheelchair...

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Abstract

The invention discloses a low-speed automatic drive intelligent wheelchair construction method based on bio-electric signal control. The method is characterized by comprising the steps as follows: synchronously acquiring multi-lead EEG and EMG signals of a driver by a physiological recorder, and acquiring high-dimensional bioelectric signal component of the driver; constructing a deep learning model with the acquired high-dimensional bioelectric signal component of the driver as input, and acquiring the drive intention of the driver; synchronously acquiring current environmental information onthe basis of a visual system, a laser radar system and a millimeter wave radar system on an automatic drive wheelchair, and constructing real-time environmental safety evaluation; acquiring a currently accessible area map with an information fusion method by use of the drive intension of the driver and an acquired real-time environmental safety evaluation, making a safety judgment on the drive intension of the driver on the basis of the currently accessible area map, and forming a driver intension safety decision. The method has good application prospects.

Description

technical field [0001] The invention relates to the field of automatic driving, in particular to a method for constructing an intelligent wheelchair for low-speed automatic driving based on bioelectrical signal control. Background technique [0002] With the development of the automobile society, convenient and intelligent travel has become a widespread social demand of people. [0003] For people who have lost their driving ability due to accidental and uncontrollable factors such as traffic accidents and aging, travel has become very difficult, and this group of people is especially eager for short-distance travel under unattended conditions. As an important part of future smart travel, low-speed automatic driving smart wheelchairs based on bioelectric signal control are the key to realizing the travel needs of this group of people. [0004] At present, the intelligent wheelchair based on manual control is the current commonly used wheelchair control method. The technical...

Claims

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Application Information

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IPC IPC(8): G05D1/02
CPCG05D1/0214G05D1/0221G05D1/0223G05D1/0251G05D1/0257G05D1/0276
Inventor 陈君兰王科张鉴黄鑫
Owner CHONGQING NORMAL UNIVERSITY