Sensor Fusion in the Perception of Self Motion
Author: Daniel R. Berger
Publisher:
Published: 2007
Total Pages: 340
ISBN-13: 9783832515553
DOWNLOAD EBOOK →Author: Daniel R. Berger
Publisher:
Published: 2007
Total Pages: 340
ISBN-13: 9783832515553
DOWNLOAD EBOOK →Author: Diane Cleij
Publisher: Logos Verlag Berlin GmbH
Published: 2020-01-28
Total Pages: 294
ISBN-13: 3832550445
DOWNLOAD EBOOK →Humans always wanted to go faster and higher than their own legs could carry them. This led them to invent numerous types of vehicles to move fast over land, water and air. As training how to handle such vehicles and testing new developments can be dangerous and costly, vehicle motion simulators were invented. Motion-based simulators in particular, combine visual and physical motion cues to provide occupants with a feeling of being in the real vehicle. While visual cues are generally not limited in amplitude, physical cues certainly are, due to the limited simulator motion space. A motion cueing algorithm (MCA) is used to map the vehicle motions onto the simulator motion space. This mapping inherently creates mismatches between the visual and physical motion cues. Due to imperfections in the human perceptual system, not all visual/physical cueing mismatches are perceived. However, if a mismatch is perceived, it can impair the simulation realism and even cause simulator sickness. For MCA design, a good understanding of when mismatches are perceived, and ways to prevent these from occurring, are therefore essential. In this thesis a data-driven approach, using continuous subjective measures of the time-varying Perceived Motion Incongruence (PMI), is adopted. PMI in this case refers to the effect that perceived mismatches between visual and physical motion cues have on the resulting simulator realism. The main goal of this thesis was to develop an MCA-independent off-line prediction method for time-varying PMI during vehicle motion simulation, with the aim of improving motion cueing quality. To this end, a complete roadmap, describing how to measure and model PMI and how to apply such models to predict and minimize PMI in motion simulations is presented. Results from several human-in-the-loop experiments are used to demonstrate the potential of this novel approach.
Author: Rik Warren
Publisher: Psychology Press
Published: 2014-01-14
Total Pages: 676
ISBN-13: 1317784278
DOWNLOAD EBOOK →This book presents studies of self-motion by an international group of basic and applied researchers including biologists, psychologists, comparative physiologists, kinesiologists, aerospace and control engineers, physicians, and physicists. Academia is well represented and accounts for most of the applied research offered. Basic theoretical research is further represented by private research companies and also by government laboratories on both sides of the Atlantic. Researchers and students of biology, psychology, physiology, kinesiology, engineering, and physics who have an interest in self-motion -- whether it be underwater, in space, or on solid ground -- will find this volume of interest. This book presents studies of self-motion by an international group of basic and applied researchers including biologists, psychologists, comparative physiologists, kinesiologists, aerospace and control engineers, physicians, and physicists. Academia is well represented and accounts for most of the applied research offered. Basic theoretical research is further represented by private research companies and also by government laboratories on both sides of the Atlantic. Researchers and students of biology, psychology, physiology, kinesiology, engineering, and physics who have an interest in self-motion -- whether it be underwater, in space, or on solid ground -- will find this volume of interest.
Author: William Epstein
Publisher: Elsevier
Published: 1995-09-15
Total Pages: 521
ISBN-13: 0080538614
DOWNLOAD EBOOK →During the past 25 years, the field of space and motion perception has rapidly advanced. Once thought to be distinct perceptual modes, space and motion are now thought to be closely linked. Perception of Space andMotion provides a comprehensive review of perception and vision research literature, including new developments in the use of sound and touch in perceiving space and motion. Other topics include the perception of structure from motion, spatial layout,and information obtained in static and dynamic stimulation. Spatial layoutStructure from motionInformation on static and dynamic stimulation (visual, acoustic, and haptic)
Author: Fred W. Mast
Publisher: Springer Science & Business Media
Published: 2007-06-13
Total Pages: 446
ISBN-13: 0387719784
DOWNLOAD EBOOK →The processing of spatial information is an increasingly important topic, especially in recent few years, with new findings emerging from such diverse disciplines as cognitive neuroscience; cognitive psychology; sensorimotor integration; neuropsychology and neuroanatomy. Bringing together contributions from a group of internationally highly renowned researchers from across these disciplines, this book offers a state-of-the-art platform on which the latest developments in spatial processing are presented.
Author: Paul S. Schenker
Publisher: SPIE-International Society for Optical Engineering
Published: 1990
Total Pages: 612
ISBN-13:
DOWNLOAD EBOOK →Author: Teresa Zielinska
Publisher: Springer Science & Business Media
Published: 2013-11-22
Total Pages: 463
ISBN-13: 321138927X
DOWNLOAD EBOOK →The aim of this publication is to present the research results in robotics that are now state-of-the-art, and indicate the possible future lines of development. To effectively work and cooperate with us, robots must exhibit abilities that are comparable to those of humans. The book describes the ongoing efforts to design and develop human-friendly robotic systems that can safely and effectively interact and work with humans.
Author: Frank Steinicke
Publisher: Springer Science & Business Media
Published: 2013-05-15
Total Pages: 405
ISBN-13: 1441984321
DOWNLOAD EBOOK →This book presents a survey of past and recent developments on human walking in virtual environments with an emphasis on human self-motion perception, the multisensory nature of experiences of walking, conceptual design approaches, current technologies, and applications. The use of Virtual Reality and movement simulation systems is becoming increasingly popular and more accessible to a wide variety of research fields and applications. While, in the past, simulation technologies have focused on developing realistic, interactive visual environments, it is becoming increasingly obvious that our everyday interactions are highly multisensory. Therefore, investigators are beginning to understand the critical importance of developing and validating locomotor interfaces that can allow for realistic, natural behaviours. The book aims to present an overview of what is currently understood about human perception and performance when moving in virtual environments and to situate it relative to the broader scientific and engineering literature on human locomotion and locomotion interfaces. The contents include scientific background and recent empirical findings related to biomechanics, self-motion perception, and physical interactions. The book also discusses conceptual approaches to multimodal sensing, display systems, and interaction for walking in real and virtual environments. Finally, it will present current and emerging applications in areas such as gait and posture rehabilitation, gaming, sports, and architectural design.
Author: Julia Trommershauser
Publisher: Computational Neuroscience
Published: 2011
Total Pages: 461
ISBN-13: 0195387244
DOWNLOAD EBOOK →This book is concerned with sensory cue integration both within and between sensory modalities, and focuses on the emerging way of thinking about cue combination in terms of uncertainty. These probabilistic approaches derive from the realization that our sensors are noisy and moreover are often affected by ambiguity. For example, mechanoreceptor outputs are variable and they cannot distinguish if a perceived force is caused by the weight of an object or by force we are producing ourselves. The probabilistic approaches elaborated in this book aim at formalizing the uncertainty of cues. They describe cue combination as the nervous system's attempt to minimize uncertainty in its estimates and to choose successful actions. Some computational approaches described in the chapters of this book are concerned with the application of such statistical ideas to real-world cue-combination problems. Others ask how uncertainty may be represented in the nervous system and used for cue combination. Importantly, across behavioral, electrophysiological and theoretical approaches, Bayesian statistics is emerging as a common language in which cue-combination problems can be expressed