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2. Preparing the Automated Future for Wheelchair Users Through Motion Prediction and User Input-Based Intent Inference

open_access
Open Access
Author:
Wolkowicz, Kelilah Louise
Title:
Preparing the Automated Future for Wheelchair Users Through Motion Prediction and User Input-Based Intent Inference
Graduate Program:
Mechanical Engineering
Keywords:
Autonomous vehicles
Band-pass filters
Bar codes
Biopotentials
Brain-computer interfaces
Computerized instrumentation
Data acquisition
Design automation
Detection algorithms
Discrete transforms
Electroencephalography
Electromyography
Electrooculography
Estimation theory
Gaze tracking
Human computer interaction
Embedded systems
Indoor localization
Input variables
Intelligent vehicles
Kalman filters
Linear discriminant analysis
Linear feedback control systems
Linear systems
Mechanical engineering
Mechanical Engineering
Mechanical systems
Microprogramming
Motion control
Odometry
Path planning
Pose estimation
Prediction algorithms
Probability
Probability distribution
Programming
Rehabilitation robotics
Research and development
Robot control
Robot kinematics
Robot motion
Robot programming
Robotic equipment testing
Simulation
Simultaneous localization and mapping
State estimation
State feedback
System implementation
System integration
System validation
User interfaces
Virtual reality
Wearable sensors
Biopotential signals
Human-computer interfaces
Decision-making
Intent inference
Slip detection
Motion prediction
Robotic wheelchair
File:
Download Wolkowicz-Dissertation.pdf
Committee Members:
Sean N Brennan, Dissertation Advisor/Co-Advisor
Sean N Brennan, Committee Chair/Co-Chair
Jason Zachary Moore, Committee Member
Henry Joseph Sommer III, Committee Member
Bruce Gluckman, Outside Member