EEG the Locomotion

The use of brainwaves as control parameters for electronic systems is becoming quite widespread. The types of signals that we have access to are still quite primitive compared to what we might aspire to in our cyberpunk fantasies, but they’re a step in the right direction.

A very tempting aspect of accessing brain signals is that it can be used to circumvent physical limitations. [Jerkey] demonstrates this with his DIY brain-controlled electric wheelchair that can move people who wouldn’t otherwise have the capacity to operate joystick controls. The approach is direct, using a laptop to marshall EEG data which is passed to an arduino that simulates joystick operations for the control board of the wheelchair. From experience we know that it can be difficult to control EEGs off-the-bat, and [Jerky]‘s warnings at the beginning of the instructable about having a spotter with their finger on the “off” switch should well be followed. Maybe some automated collision avoidance would be useful to include.

We’ve covered voice-operated wheelchairs before, and we’d like to know how the two types of control would stack up against one another. EEGs are more immediate than speech, but we imagine that they’re harder to control.

It would be interesting albeit somewhat trivial to see an extension of [Jerkey]‘s technique as a way to control an ROV like Oberon, although depending on the faculties of the operator the speech control could be difficult (would that make it more convincing as an alien robot diplomat?).

Robotic mobility for the little ones

Researchers at the University of Delaware are helping disabled kids by designing robot transportation for them. Exploring one’s environment is an important part of early development. Disabilities that limit mobility can prevent young children from experiencing this. Typically children are not offered a powered wheelchair until they are five or six years old, but adding intelligent technologies, like those found in the UD1, makes this possible at a much younger age. Proximity sensors all around the drive unit of the robot add obstacle avoidance and ensure safety when used around other children. When confronted with an obstacle the UD1 will stop, or navigate around it. The unit is controlled by a joystick in front of the rider but it can also be overridden remotely by a teacher, parent, or caregiver.

[via Robot Gossip]

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