Foreword | |
Preface | |
List of Contributors | |
Introduction to wearable robotics | |
Wearable robots and exoskeletons | |
The role of bioinspiration and biomechatronics in wearable robots | |
Technologies involved in robotic exoskeletons | |
A classification of wearable exoskeletons: application domains | |
Scope of the book | |
References | |
Basis for bioinspiration and biomimetism in wearable robots | |
Introduction | |
General principles in biological design | |
Development of biologically inspired designs | |
Levels of biological inspiration in engineering design | |
Case Study: limit-cycle biped walking robots to imitate human gait and to inspirethe design of wearable exoskeletons | |
Acknowledgements | |
Case Study: MANUS-HAND, mimicking neuromotor control of grasping | |
Case Study: internal models, CPGs and reflexes to control bipedal walking robots and exoskeletons: the ESBiRRo project | |
References | |
Kinematics and dynamics of wearable robots | |
Introduction | |
Robot mechanics: motion equations | |
Human biomechanics | |
Kinematic redundancy in exoskeleton systems | |
Case Study: a biomimetic, kinematically compliant knee joint modelled by a four-bar linkage | |
Case Study: design of a forearm pronation-supination joint in an upper limb exoskeleton | |
Case Study: study of tremor characteristics based on a biomechanical model ofthe upper limb | |
References | |
Human-robot cognitive interaction | |
Introduction to human-robot interaction | |
cHRI using bioelectrical monitoring of brain activity | |
Physiology of brain activity | |
Electroencephalography (EEG) models and parameters | |
Brain-controlled interfaces: approaches and algorithms | |
cHRI through bioelectrical monitoring of muscle activity (EMG) | |
Physiology of muscle activity | |
Electromyography models and parameters | |
Surface EMG signal feature extraction | |
Classification of EMG activity | |
Force and torque estimation | |
cHRI through biomechanical monitoring | |
Biomechanical models and parameters | |
Biomechanically controlled interfaces: approaches and algorithms | |
Case Study: lower limb exoskeleton control based on learned gait patterns | |
Gait patterns with knee joint impedance modulation | |
Architecture | |
Fuzzy inference system | |
Simulation | |
Case Study: identification and tracking of involuntary human motion based on biomechanical data | |
Case Study: cortical control of neuroprosthetic devices | |
Case Study: gesture and posture recognition using WSNs | |
Platform description | |
Implementation of concepts and algorithm | |
Posture detection results | |
Challenges: wireless sensor networks for motion tracking | |
Summary and outlook | |
References | |
Human-robot physical interaction | |
Introduction | |
Physiological factors | |
Aspects of wearable robot design | |
Kinematic compatibility between human limbs and wearable robots | |
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