Electro-oculogram intelligent wheelchair and control method thereof
A wheelchair and intelligent technology, which is applied in the field of eye-electric intelligent wheelchair, wheelchair control system, and eye-electric intelligent wheelchair control, can solve the problems of people with inconvenient limb defects and wheelchairs that cannot meet the needs of hands and feet, and achieve the effect of convenient use
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Embodiment 1
[0058] see figure 1 as well as figure 2 , this embodiment provides an eye-electric smart wheelchair. The wheelchair is an oculoelectric smart wheelchair based on LabView, and adopts bipolar leads to collect oculoelectric signals. Wherein, the wheelchair includes a wheelchair mechanism, a signal acquisition device, 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, and the like.
[0059] 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, the wheelchair mechanism can also be other wheelchairs that can move under the support of external power.
[0060] see image 3 and ...
Embodiment 2
[0092] see Figure 11 , this embodiment provides an oculoelectric intelligent wheelchair, and 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 range four. When the minimum value is with...
Embodiment 3
[0095]This embodiment provides an eye-electric intelligent wheelchair, 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 range four, the pattern recognition module deter...
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