Voice control wheel chair with movement modes being adjusted according to physical condition, mental state and environmental condition
A technology of mental state and environmental state, applied in the patient's chair or special transportation tool, speech analysis, speech recognition, etc., can solve problems such as inability to serve ordinary consumers, ordinary wheelchairs cannot meet the needs of patients, and smart wheelchairs are expensive
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specific Embodiment approach 1
[0022] Specific implementation mode one: the following combination Figure 1 to Figure 5 Describe this embodiment, a voice-controlled wheelchair that can adjust the exercise mode according to the human body, psychological state and environmental state in this embodiment. A pillow bolster 1 is arranged on the upper end of the back of the wheelchair, which can be adjusted according to the human body. The voice-controlled wheelchair that adjusts the motion mode of body, mental state and environmental state includes a neck pulse sensor 2, a breathing signal detection circuit 3, a control and analysis processor 4, a drive motor 5, a rear wheel driving wheel 6, a front wheel driven wheel 7, Measuring distance sensor 8, voice command control panel 9, microphone 10, ear type sphygmomanometer 11 and execution and alarm module 12,
[0023] The neck pulse sensor 2 is arranged under the pillow bolus 1 of the wheelchair, and is used to detect the patient's pulse signal;
[0024] Breathing...
specific Embodiment approach 2
[0038] Embodiment 2: This embodiment will further illustrate Embodiment 1. The control and analysis processor 4 includes a pulse signal conversion circuit 4-1, a respiratory signal conversion circuit 4-2, a blood pressure signal conversion circuit 4-3, and a voice signal conversion circuit. 4-4, distance signal conversion circuit 4-5 and microcontroller 4-6,
[0039] The neck pulse sensor 2 detects the patient's pulse signal and outputs it to the pulse signal conversion circuit 4-1, and the pulse signal conversion circuit 4-1 converts the signal into a pulse electrical signal and outputs it to the microcontroller 4-6;
[0040] The respiratory signal detection circuit 3 detects the respiratory signal of the patient and outputs it to the respiratory signal conversion circuit 4-2, and the respiratory signal conversion circuit 4-2 converts the signal into a respiratory electrical signal and outputs it to the microcontroller 4-6;
[0041] The ear-type sphygmomanometer 11 detects th...
specific Embodiment approach 3
[0044] Specific implementation mode three: this implementation mode further explains implementation mode one, and the microcontroller 4-6 selects Sunplus SPCE061A single-chip microcomputer.
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