Modelling human motion : from human perception to robot design /: from human perception to robot design. (2020)

• Record Type: Book
• Further Information: Note: Nicoletta Noceti, Alessandra Sciutti, Francesco Rea, editors.
• Other Names: Noceti, Nicoletta; Sciuitti, Alessandra; Rea, Francesco
• Contents: Intro -- Contents -- Contributors -- 1 Modeling Human Motion: A Task at the Crossroads of Neuroscience, Computer Vision and Robotics -- 1.1 Introduction -- 1.2 Book Structure -- 1.2.1 Part I: Motion Perception in Humans -- 1.2.2 Part II: Computational Models of Motion Understanding -- 1.2.3 Part III: The Robotic Point of View -- References -- Part I Motion Perception in Humans -- 2 The Neurophysiology of Action Perception -- 2.1 Action Perception -- 2.2 Mirror Neuron System in Humans -- 2.3 Mirror Neuron System: Transcranial Magnetic Stimulation Studies 2.4 Modularity in the Motor System Could Be Exploited in Action Observation -- 2.5 Action Inhibition in the Presence of Errors: Own Versus Other's -- 2.6 Conclusions -- References -- 3 Beyond Automatic Motor Mapping: New Insights into Top-Down Modulations on Action Perception -- 3.1 Introduction -- 3.2 Kinematics Representation -- 3.3 Goal Representation -- 3.4 Intention Level Representation -- 3.5 Contextual Modulations -- 3.6 Conclusions -- References -- 4 The Visual Perception of Biological Motion in Adults -- 4.1 Introduction 4.2 Action Categories and Biological Motion: Prototypes and Graded Structure -- 4.3 Orientation Specificity -- 4.4 Global and Local Visual Features in Action Segmentation -- 4.5 Influence of Movement Control on Motion Perception -- 4.6 Physical and Functional Constraints -- 4.6.1 Musculoskeletal Constraints -- 4.6.2 Kinematic Constraints -- 4.6.3 Psychophysical Constraints -- 4.7 Evidences of the Impact of Motor Properties on Motion Perception -- 4.8 Consequences on Human-Robot Interaction -- References -- 5 The Development of Action Perception -- 5.1 Action Perception: What It Is 5.2 Methodologies for Studying Action Perception Development -- 5.2.1 Looking Time -- 5.2.2 Eye-Tracking -- 5.2.3 Neuroscientific Methods -- 5.2.4 Active Responses -- 5.3 Types of Information Used for Action Perception in Development -- 5.4 Potential Driving Factors for Action Perception Development -- 5.4.1 Early Preferences -- 5.4.2 Capacities Fundamental for Action Perception Development -- 5.4.3 How Experience Can Shape Action Perception Development -- 5.5 Conclusion -- References -- 6 The Importance of the Affective Component of Movement in Action Understanding -- 6.1 Introduction 6.2 Structure and Function of the Insula -- 6.3 The Encoding of Action Vitality Forms -- 6.4 The Encoding of Auditory Vitality Forms -- 6.5 The Role of Vitality Forms in Social Interactions -- 6.6 Conclusions -- References -- Part II Computational Models for Motion Understanding -- 7 Optical Flow Estimation in the Deep Learning Age -- 7.1 Emergence and Advances of Deep Learning-Based Optical Flow Estimation -- 7.1.1 From Classical Energy-Based Approaches to CNNs -- 7.1.2 CNNs as Feature Extractor -- 7.1.3 End-to-End Regression Architectures for Optical Flow Estimation
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 612.7/6; Human locomotion -- Computer simulation; Human mechanics -- Computer simulation; Human-robot interaction; Electronic books
• Languages: English
• ISBNs: 9783030467326; 3030467325
• Related ISBNs: 9783030467319; 3030467317
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.