Wearable Technology For Robotic Manipulation And Learning
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Wearable Technology for Robotic Manipulation and Learning
Over the next few decades, millions of people, with varying backgrounds and levels of technical expertise, will have to effectively interact with robotic technologies on a daily basis. This means it will have to be possible to modify robot behavior without explicitly writing code, but instead via a small number of wearable devices or visual demonstrations. At the same time, robots will need to infer and predict humans’ intentions and internal objectives on the basis of past interactions in order to provide assistance before it is explicitly requested; this is the basis of imitation learning for robotics. This book introduces readers to robotic imitation learning based on human demonstration with wearable devices. It presents an advanced calibration method for wearable sensors and fusion approaches under the Kalman filter framework, as well as a novel wearable device for capturing gestures and other motions. Furthermore it describes the wearable-device-based and vision-based imitation learning method for robotic manipulation, making it a valuable reference guide for graduate students with a basic knowledge of machine learning, and for researchers interested in wearable computing and robotic learning.
Applications of Artificial Intelligence for Smart Technology
As global communities are attempting to transform into more efficient and technologically-advanced metropolises, artificial intelligence (AI) has taken a firm grasp on various professional fields. Technology used in these industries is transforming by introducing intelligent techniques including machine learning, cognitive computing, and computer vision. This has raised significant attention among researchers and practitioners on the specific impact that these smart technologies have and what challenges remain. Applications of Artificial Intelligence for Smart Technology is a pivotal reference source that provides vital research on the implementation of advanced technological techniques in professional industries through the use of AI. While highlighting topics such as pattern recognition, computational imaging, and machine learning, this publication explores challenges that various fields currently face when applying these technologies and examines the future uses of AI. This book is ideally designed for researchers, developers, managers, academicians, analysts, students, and practitioners seeking current research on the involvement of AI in professional practices.
Neurological Rehabilitation
Author: Darcy Ann Umphred, PT, PhD, FAPTA
language: en
Publisher: Elsevier Health Sciences
Release Date: 2012-08-14
Using a problem-solving approach based on clinical evidence, Neurological Rehabilitation, 6th Edition covers the therapeutic management of people with functional movement limitations and quality of life issues following a neurological event. It reviews basic theory and covers the latest screening and diagnostic tests, new treatments, and interventions commonly used in today's clinical practice. This edition includes the latest advances in neuroscience, adding new chapters on neuroimaging and clinical tools such as virtual reality, robotics, and gaming. Written by respected clinician and physical therapy expert Darcy Umphred, this classic neurology text provides problem-solving strategies that are key to individualized, effective care. UNIQUE! Emerging topics are covered in detail, including chapters such as Movement Development Across the Lifespan, Health and Wellness: The Beginning of the Paradigm, Documentation, and Cardiopulmonary Interactions. UNIQUE! A section on neurological problems accompanying specific system problems includes hot topics such as poor vision, pelvic floor dysfunction, and pain. A problem-solving approach helps you apply your knowledge to examinations, evaluations, prognoses, and intervention strategies. Evidence-based research sets up best practices, covering topics such as the theory of neurologic rehabilitation, screening and diagnostic tests, treatments and interventions, and the patient's psychosocial concerns Information. Case studies use real-world examples to promote problem-solving skills. Non-traditional approaches to neurological interventions in the Alternative and Complementary Therapies chapter include the movement approach, energy approach, and physical body system approaches therapies. Terminology adheres to the best practices of the APTA as well as other leading physical therapy organizations, following The Guide to Physical Therapy Practice, the Nagi model, and the ICF World Health Model of patient empowerment. Updated illustrations provide current visual references. NEW chapters on imaging and robotics have been added. Updated chapters incorporate the latest advances and the newest information in neuroscience and intervention strategies. Student resources on an Evolve companion website include references with links to MEDLINE and more.