Brain-controlled intelligent automatic photographing system based on portable electroencephalogram acquisition equipment and application

Abstract

The invention discloses a brain-controlled intelligent automatic photographing system based on portable electroencephalogram acquisition equipment and application. The system comprises portable electroencephalogram acquisition equipment, a human brain intention recognition module and an automatic photographing system which are connected in sequence, the portable electroencephalogram acquisition equipment collects electroencephalogram signals from the brain of a testee, the electroencephalogram intention recognition module analyzes the electroencephalogram signals and determines the photographing intention of a user, and the automatic photographing system automatically executes a photographing task according to the photographing intention of the user. According to the invention, data can beacquired and processed in real time without any early-stage preparation work, so that the real-time performance is relatively high. Accurate acquisition and effective identification of EEG signals can be achieved, and therefore the automatic photographing function controlled by the human brain is achieved. By automatically collecting and analyzing the electroencephalogram signals, automatic photographing controlled by the electroencephalogram signals is realized, and convenience is brought to patients with hand disability or equipment users in some special environments to smoothly meet photographing requirements.

Description

technical field [0001] The invention relates to a camera system. In particular, it relates to a brain-controlled intelligent automatic photographing system and its application based on a portable EEG acquisition device. Background technique [0002] According to the data of the National Sample Survey on Disabled Persons, the number of physically disabled people in my country exceeds 20 million. These disabled people often cannot perform hand movements like normal people, and cannot successfully complete tasks in some occasions where cameras are required to take pictures. And when some normal people are performing special tasks, such as underground detection and remote control of drones, they will also be unable to complete hand photo control due to environmental factors. With the development of brain-computer interface devices, some devices that do not require active control by the user but analyze the user's EEG signal to identify the user's intention and perform tasks aut...

AI Technical Summary

Problems solved by technology

[0004] EEG signal data has the characteristics of large quantity, many features, and rapid changes. After the data collection is completed, if artificial analysis is performed, a lot of time will be wasted and some important information will be missed.

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