Description
Book Synopsis.- AI Robot Technology for Healthcare as a Service.
.- Continuous human acitvity recognition system by using human skeleton information.
.- Egocentric Behaviour Analysis Based on Object Relationship Extraction for Cognitive Rehabilitation Support.
.- A Systematic Review of Using Human-robot Interaction for Cognitive Training for Elderly with Mild Cognitive Impairment.
.- Balloon Robot: Movement Recognition, Motion of Robot and Design of Robot.
.- Surrogate Model of Human Upper Limb Muscle Estimation for Mobile Device Application.
.- A LLM-based Robot Partner with Multi-modal Emotion Recognition.
.- Design of a New Dual-modal Ultrasonic Skull Cutting Device.
.- Computational Neuroscience and Cognitive Models for Adaptive Human-Robot Interactions.
.- Capsule Embedding and Emotional Metric Learning for Facial Expression Recognition.
.- HVUE Planner: 3D UAV Path Planner using Hierarchical Visibility Graph in Unknown Environments.
.- Research Approach of Hand Gesture Recognition based on Improved YOLOV3 network and Bayes classifier.
.- Correntropy-based Bipartite Graph Factorization for Clustering.
.- Flexiv Rizon-Based Multitasking Dual-Arm Robot Platform.
.- CLIP Based Semantic Information Extraction and Target Alignment for Domain Generalization.
.- Dynamics and Perception of Human-Robot Hybrid Systems.
.- Muscle Synergy Analysis for Human-body Walking Balance Mechanism with Wearable Capacitive Sensing.
.- Flexible Wrinkled Angle Sensor with One-Time Calibration for Gait Phase Monitoring.
.- Model-Based Deep Learning for Distributed Maneuvering Target Tracking.
.- Dynamic Modeling and Analysis of 3-PSR Space Parallel Mechanism with Wear and Lubrication Clearance of Spherical Pair.
.- Three-Dimensional Iontronic Force Sensor for Robotic Force Feedback.
.- Muscle force calculation of a human-exoskeleton hybrid system based on muscle synergy.
.- Robotics for Rehabilitation: Innovations, Challenges, and Future Directions.
.- Design of a novel vacuum head with haptic perception for negative pressure therapy on limbs.
.- Machine Learning Models for Gait Phases Detection Using Surface Electromyography Signals.
