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
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
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...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 

