Handicapped-helping control system based on electroencephalogram/voice instructions

Abstract

The invention discloses a handicapped-helping control system based on electroencephalogram / voice instructions. The handicapped-helping control system is composed of a computer, a brain wave collection device, a brain-and-computer port device, a Bluetooth headset, a home furnishing control device, a wheel chair control device and an electric wheel chair, wherein the brain wave collection device collects electroencephalogram signals of a user through the brain-and-computer port device, and the computer receives the electroencephalogram signals and enables the electroencephalogram signals to be converted into computer keyboard events. The Bluetooth headset enables the voice instructions sent by the user to be transmitted to the computer in a wireless mode, a voice recognition procedure conducts recognition process for the voice instructions, and the voice instructions are converted into the computer keyboard events. The computer keyboard events are then converted into digital events, control for common household appliances is achieved through the home furnishing control device, control electric potentials of the electric wheel chair is changed through the wheel chair control device, and functions of advancing, retreating, going left, going right and stopping of the wheel chair are achieved. The handicapped-helping control system achieves the purposes that the handicapped and the like having limb inconvenience or language inconvenience achieve independent living and independent tripping, has great contribution to relieving of psychological stress of the handicapped, and is simple in structure, low in cost and easy to operate.

Description

technical field [0001] The invention relates to the field of artificial intelligence control, in particular to an intelligent device for controlling common household appliances and walking of wheelchairs by using brain waves or voice commands for physically disabled people. Background technique [0002] A brain-computer interface is a direct connection path established between the human or animal brain and external devices. Research into brain-computer interfaces has continued for 40 years, and such knowledge gained from experiments has grown significantly since the mid-1990s. From the perspective of the way to obtain EEG signals, brain-computer interfaces can be divided into the following types: invasive brain-computer interface, partially invasive brain-computer interface and non-invasive brain-computer interface; the so-called non-invasive brain-computer interface The brain-computer interface is directly implanted into the gray matter of the brain or the cranial cavity, ...

AI Technical Summary

Problems solved by technology

[0003] At present, there is no product on the market that integrates wheelchairs into the disability control system, and there are two common types of wheelchairs on the market, one is manual wheelchairs, and the other is electric wheelchairs. The above two types of wheelchairs are only suitable for people with lower limb disabilities, which makes some people with upper limb disabilities unable to use wheelchairs, which causes a lot of inconvenience in life

[0004] patent 201110268891.5 A smart wheelchair based on a multimodal brain-computer interface is disclosed. The subject wears a 32-lead electrode cap. During the operation, the subject's eyes are required to be 65cm away from the visual stimulation interface, and the subject needs to stare at the interface for a long time, thereby changing the progress. The state realizes that the wheelchair can move in all directions, but in a real environment, it is impossible for the disabled to keep 65cm away from the stimulation interface at any time, and the user needs to be trained for a long time to operate, which greatly limits its practicability and has many problems. big security risk

[0005] Japan's Toyota Corporation has also conducted a similar study. From its public appearance, it can be known that the subjects of the device wear multiple electrode caps, and the signal processing and control devices are too large to be suitable for disabled people who are actually using them.

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