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Interfacing and Control of Artificial Hands
Title
Interfacing and Control of Artificial Hands.
Creator
Ingicco, Joseph, Engeberg, Erik, Florida Atlantic University, College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description
This thesis discusses three projects that revolve around the central concept of the control of artificial hands. The first part of the thesis discusses the design of a museum exhibit for the South Florida Science Center that allows the public to control an i-limb Revolution prosthetic hand using electromyograph (EMG) sensors. A custom armature was designed to house the EMG sensors that are used to control the prosthesis. The top arm of the armature utilized a double rocker design for a...
Show moreThis thesis discusses three projects that revolve around the central concept of the control of artificial hands. The first part of the thesis discusses the design of a museum exhibit for the South Florida Science Center that allows the public to control an i-limb Revolution prosthetic hand using electromyograph (EMG) sensors. A custom armature was designed to house the EMG sensors that are used to control the prosthesis. The top arm of the armature utilized a double rocker design for a greater range of motion which allows the display to accommodate arm sizes ranging from small children to large adults. This display became open to the public in March of 2019. The second part of the thesis describes a new concept for a simultaneous multi-object grasp using the Shadow hand robotic hand. This grasp is tested in an experiment that involves grasp and transportation tasks. This experiment also aims to analyze the benefit of soft robotic haptic feedback armband during the grasp and transportation tasks when a simulated break threshold is imposed on the objects. The usefulness of the haptic feedback was further tested with a guess the object task where the subjects had to determine which object was in the hand based solely off the armband. The new grasp synergy was deemed a success as all subjects were able to use the control method effectively with very little initial training. It was also found that the haptic feedback greatly aided in the successfully completing the transportation tasks. The human subjects were asked to rate the haptic feedback after each task, the overall rating for the helpfulness of the haptic feedback was rated as 4.6 out of 5. The final part of the thesis discusses an approach at gaining additional control signals for a dexterous artificial hand using a brain computer interface. This project seeks to investigate three neuromarkers for control which are: mu, xi and alpha. During analysis, the mu rhythm was not seen in our subject but alpha and xi were. Using deep learning approaches at classification, we were able to classify alpha and xi with at least a 90 percent accuracy.
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Date Issued
2019
PURL
http://purl.flvc.org/fau/fd/FA00013318
Subject Headings
Artificial hands, Haptic interfaces, Electromyography, Brain-computer interfaces
Format
Document (PDF)
BCU scalable sensory acquisition system for EEG embedded applications
Title
A BCU scalable sensory acquisition system for EEG embedded applications.
Creator
Fathalla, Sherif S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Electroencephalogram (EEG) Recording has been through a lot of changes and modification since it was first introduced in 1929 due to rising technologies and signal processing advancements. The EEG Data acquisition stage is the first and most valuable component in any EEG recording System, it has the role of gathering and conditioning its input and outputting reliable data to be effectively analyzed and studied by digital signal processors using sophisticated and advanced algorithms which help...
Show moreElectroencephalogram (EEG) Recording has been through a lot of changes and modification since it was first introduced in 1929 due to rising technologies and signal processing advancements. The EEG Data acquisition stage is the first and most valuable component in any EEG recording System, it has the role of gathering and conditioning its input and outputting reliable data to be effectively analyzed and studied by digital signal processors using sophisticated and advanced algorithms which help in numerous medical and consumer applications. We have designed a low noise low power EEG data acquisition system that can be set to act as a standalone mobile EEG data processing unit providing data preprocessing functions; it can also be a very reliable high speed data acquisition interface to an EEG processing unit.
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Date Issued
2010
PURL
http://purl.flvc.org/FAU/3164095
Subject Headings
Brain-computer interfaces, Computational neuroscience, Neural networks (Computer science)
Format
Document (PDF)
Smart low power obstacle avoidance device
Title
Smart low power obstacle avoidance device.
Creator
Cividanes, Ernesto., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Several technologies are being made available for the blind and the visually impaired with the use of infrared and sonar sensors, Radio Frequency Identification, GPS, Wi-Fi among others. Current technologies utilizing microprocessors increase the device's power consumption. In this project, a Verilog Hardware Language (VHDL) designed handheld device that autonomously guides a visually impaired user through an obstacle free path is proposed. The goal is to minimize power consumption by not...
Show moreSeveral technologies are being made available for the blind and the visually impaired with the use of infrared and sonar sensors, Radio Frequency Identification, GPS, Wi-Fi among others. Current technologies utilizing microprocessors increase the device's power consumption. In this project, a Verilog Hardware Language (VHDL) designed handheld device that autonomously guides a visually impaired user through an obstacle free path is proposed. The goal is to minimize power consumption by not using the usual microcontroller and replacing it with components that can increase its speed. Utilizing six infrared sensors, the handheld device is modeled after current technologies which use IR and sonar sensors which are reviewed in this project. By using behavioral modeling, an algorithm for obstacle avoidance and the generation of the obstacle free path is reduced using a K-map and implemented using a multiplexer.
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Date Issued
2010
PURL
http://purl.flvc.org/FAU/2954841
Subject Headings
Verilog (Computer hardware description language), VHDL (Computer hardware description language), Rapid prototyping, Logic design, Intelligent control systems, Brain-computer interfaces
Format
Document (PDF)