Proceedings ArticleDOI
Controlling an arduino robot using Brain Computer Interface
Parth Gargava,Karan Sindwani,Sumit Soman +2 more
- pp 1-5
TLDR
This paper establishes an application to control a robot on the Arduino platform by the use of a BCI system, which does not require training for individual users and achieves around 96% accuracy using computationally inexpensive feature extraction and classification techniques.Abstract:
The ability to acquire Electroencephalogram (EEG) signals from the brain has led to the development of Brain Computer Interfaces (BCI), which capture signals generated by the physical processes in the brain and use them to control external devices. In this paper, we establish an application to control a robot on the Arduino platform by the use of a BCI system, which does not require training for individual users. We present the design and development of a BCI processing pipeline built on open-source platforms using the Emotiv EEG headset. Our system achieves around 96% accuracy using computationally inexpensive feature extraction and classification techniques, namely, band power and Support Vector Machines (SVM). We are also able to guide a robot's movement efficiently using multiple intents.read more
Citations
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Proceedings ArticleDOI
Automated seed sowing agribot using arduino
Saurabh Umarkar,Anil Karwankar +1 more
TL;DR: The qualitative approach of this project is to develop a system which minimizes the working cost and also reduces the time for digging operation and seed sowing operation by utilizing solar energy to run the agribot.
Posted ContentDOI
10 years of EPOC: A scoping review of Emotiv’s portable EEG device
TL;DR: The use of low-cost electroencephalography (EEG) devices has become increasingly available over the last decade as discussed by the authors and one of these devices, Emotiv EPOC, is currently used in a wide variety of settings, including brain-computer interface (BCI) and cognitive neuroscience research.
Proceedings ArticleDOI
Low complexity approach for controlling a robotic arm using the Emotiv EPOC headset
TL;DR: The results obtained indicate that the proposed approach is effective for detecting the eye-wink commands with a good rate of accuracy (over 93%) and allowed the development of a Head-Computer Interface that enables complete interaction with a robotic arm.
Journal ArticleDOI
Automatic Floor Cleaning Robot Using Arduino and Ultrasonic Sensor
TL;DR: The results of testing the value of the ultrasonic sensor distance found different conditions that occur, and the condition of the prototype cleaning robot for the road floor cleaning is obtained, while the distance <15 cm, the condition for the prototype of the street floor cleaning robot has stopped.
Journal ArticleDOI
Measuring Biosignals with Single Circuit Boards
TL;DR: This review gives an overview of studies found in the recent scientific literature, reporting measurements of biosignals such as ECG, EMG, sweat and other health-related parameters by single circuit boards, showing new possibilities offered by Arduino, Raspberry Pi etc. in the mobile long-term acquisition of biosignedals.
References
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Journal ArticleDOI
Steering a Tractor by Means of an EMG-Based Human-Machine Interface
TL;DR: It is concluded that it is possible to steer a tractor by an EMG-based HMI with almost the same accuracy as with manual steering.
Evaluation of consumer EEG device Emotiv EPOC
TL;DR: The EPOC device has proven to acquire real EEG data which is comparable to the one acquired by using conservative EEG devices, and comparison between the two EEG devices suggest that data is alike in general, but the signal is cleaner and stronger in the G-TEC device.
Journal ArticleDOI
Influencing versus Informing Design, Part 1: A Gap Analysis
Robert R. Hoffman,S.V. Deal +1 more
TL;DR: A success story of cognitive systems engineering for a large-scale system, a project that coped with the practical constraints of time pressure and the challenge of designing for an envisioned world when system elements could not be fully specified in advance is discussed.
Book
Make an Arduino-Controlled Robot
TL;DR: This book helps you to build a robot that is capable of performing a wide variety of tasks and is for people who want to explore robotics concepts like movement, obstacle detection, handling sensors, remote control, and all kinds of real world physical computing challenges.