Brain Imaging and Machine Learning for Brain-Computer Interface
Brain Machine Interface
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Transcript of Brain Machine Interface
Brain Machine Interface(BMI)
Definition of BMI
• Brain-Machine Interface (BMI) is a
communication system, which enables the user
to control special computer applications by
using only his or her thoughts.
• It will allow human brain to accept and control a
mechanical device as a part of the body.
• Main principle behind this interface is the
bioelectrical activity of nerves and muscles.
BCI Model
Back Ground
●Algorithms to reconstruct movements from motor cortex ●neurons, which control movement, were developed in 1970s.
●The first Intra-Cortical Brain-Computer Interface was
built by implanting electrodes into monkeys.
●After conducting initial studies in rats during the 1990s,researchers developed Brain Computer Interfaces that decoded brain activity in monkeys and used the devices to reproduce movements in robotic arms.
Approaches to BMI
Applications of BMI
● Provide disabled people with communication, environment
● control, and movement restoration.
● Provide enhanced control of devices such as wheelchairs,
● vehicles, or assistance robots for people with disabilities.
● Monitor attention in long-distance drivers or aircraft pilots, send out alert and warning for aircraft pilots.
● Develop intelligent relaxation devices.