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Exploration of Neural-Gestural Interfaces for the Control of Robots
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pyohio
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pyohio_2018
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Marks
Author(s):
Rebecca Oet, Melissa Kazazic
Location
Cartoon 2
Date
jul Sat 28
Days Raw Files
Start
12:00
First Raw Start
11:42
Duration
0:30:0
Offset
0:17:26
End
12:30
Last Raw End
12:42
Chapters
00:00
0:09:40
0:21:41
Total cuts_time
23 min.
https://pyohio.org/2018/schedule/presentation/16/
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As technology improves at a rapid rate, experimentation in the ways in which people interact with machines and computers becomes more significant. The most common interfaces today are a mouse, keyboard, and screen. However, these devices are limiting as they only interact with a user on a basic level, usually on a two-dimensional plane. This project aims to create a more natural communication between the user and a machine, in this case a robot, through gestures and neural feedback. The data of hand and arm gestures are taken using the MyoBand, which records electrical impulses, to give the robot directions. The Emotiv headset is used to record the level of concentration of the user, so that the robot may only be controlled if the user is paying close attention. We'll discuss: + Background on neural interfaces, gestural interfaces, and robots + Overview of technology used in the project: Emotiv headset, Myo Band, Raspberry Pi + Python scripts + Applications and future directions
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production notes
2018-07-28/11_42_34.ts
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