Electric intelligent wheelchair controlled by electro-oculogram signals and lip action signals and control method
A technology of motion signals and electrical signals, which is used in vehicle rescue, patient chairs or special means of transport, medical science, etc.
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Embodiment 1
[0060] see figure 1 as well as figure 2 , This embodiment provides an electric smart wheelchair controlled by electro-oculogram and lip movement signals. The wheelchair is an electric intelligent wheelchair controlled by LabView-based electro-oculogram and lip movement signals, and adopts bipolar leads to collect electro-oculogram signals. Wherein, the wheelchair includes a wheelchair mechanism, a signal acquisition device 1, a signal acquisition device 2, a signal processing device, and a wheelchair motion control device. The communication methods between these devices can adopt existing communication methods, such as Bluetooth, WiFi, serial ports, etc.
[0061] The wheelchair mechanism includes a wheelchair body and a motor. The motor is installed on the wheelchair body and is used to drive the wheelchair body to move. The wheelchair mechanism can be an existing electric wheelchair, which can move in various terrains through electric drive. Of course, in some embodiments...
Embodiment 2
[0096] see Figure 11, this embodiment provides an electric smart wheelchair controlled by electro-oculogram and lip movement signals. The system refines the specific recognition process of the pattern recognition module on the basis of Embodiment 1. Wherein, the pattern recognition module judges whether the maximum value in the waveform feature is within a preset range one. When the maximum value is within a preset range 1, the pattern recognition module judges whether the minimum value in the waveform feature is within a preset range 2. When the minimum value is within the second preset range, the pattern recognition module determines that the movement mode is turning right. When the maximum value is not within the preset range one, the pattern recognition module determines whether the maximum value is within a preset range three. When the maximum value is within a preset range three, the pattern recognition module determines whether the minimum value is within a preset ra...
Embodiment 3
[0099] This embodiment provides an electric smart wheelchair controlled by electro-oculogram and lip movement signals, and the system further adds the following steps on the basis of Embodiment 1. Wherein, the pattern recognition module judges whether the maximum value in the waveform feature is within a preset range one. When the maximum value is within a preset range 1, the pattern recognition module judges whether the minimum value in the waveform feature is within a preset range 2. When the minimum value is within the second preset range, the pattern recognition module determines that the movement mode is turning right. When the maximum value is not within the preset range one, the pattern recognition module determines whether the maximum value is within a preset range three. When the maximum value is within a preset range three, the pattern recognition module determines whether the minimum value is within a preset range four. When the minimum value is within the preset ...
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