Intelligent Robotics and Applications
15th International Conference, ICIRA 2022, Harbin, China, August 1–3, 2022, Proceedings, Part I
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157 Result(s)
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Hong**a Liu
Artificial Intelligence
Information Systems Applications (incl. Internet)
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Article
Unraveling human social behavior motivations via inverse reinforcement learning-based link prediction
Link prediction aims to capture the evolution of network structure, especially in real social networks, which is conducive to friend recommendations, human contact trajectory simulation, and more. However, the...
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Book and Conference Proceedings
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Book and Conference Proceedings
Intelligent Robotics and Applications
15th International Conference, ICIRA 2022, Harbin, China, August 1–3, 2022, Proceedings, Part II
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Book and Conference Proceedings
Intelligent Robotics and Applications
15th International Conference, ICIRA 2022, Harbin, China, August 1–3, 2022, Proceedings, Part III
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Book and Conference Proceedings
Intelligent Robotics and Applications
15th International Conference, ICIRA 2022, Harbin, China, August 1–3, 2022, Proceedings, Part IV
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Book and Conference Proceedings
Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation
22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23–25, 2022, Revised Selected Papers
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Chapter and Conference Paper
Design of Wireless Synchronous sEMG Information Acquisition System
The sEMG (surface electromyogram signal) reflects the degree of muscle activity, which contains a large amount of motion information about the human body. It has important research significance and application...
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Chapter and Conference Paper
A Synchronous Acquisition System of Ultrasound, sEMG and IMU for Human Motion Prediction
At present, due to the limited information, the single man-machine interface control has some defects in human motion prediction, such as low accuracy and poor robustness. In this work, a multi-modal real-time...
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Chapter and Conference Paper
Heterogeneous sEMG Sensing for Stroke Motor Restoration Assessment
Stroke is a common global health-care problem that has had serious negative impact on the life quality of the patients. Motor impairment after stroke typically affects one side of the body. The main focus of s...
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Chapter and Conference Paper
Hybrid Deep Convolutional Network for Face Alignment and Head Pose Estimation
Face alignment has been an important focus of vision research because it is the most fundamental step in face analysis, reconstruction, and applications of emotion and attention. However, face alignment still ...
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Chapter and Conference Paper
Modeling and Recognition of Movement-Inducing Fatigue State Based on ECG Signal
Fatigue monitoring is significant during movement process to avoid body injury cased by excessive exercise. To address this issue, we developed an automated framework to recognize human fatigue states based on...
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Chapter and Conference Paper
Wearable Ultrasound Interface for Prosthetic Hand Manipulation
Ultrasound can non-invasively detect muscle deformations, which has great potential applications in prosthetic hand control. This research developed a miniaturized ultrasound device that could be integrated in...
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Chapter and Conference Paper
A Classification Method for Acute Ischemic Stroke Patients and Healthy Controls Based on qEEG
Stroke has been one of the diseases with high incidence in the world, which is the main reason for adult deformity. It’s significant to diagnose stroke quickly and accurately. Currently the main diagnostic met...
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Chapter and Conference Paper
Realtime Interpersonal Human Synchrony Detection Based on Action Segmentation
IS (Interpersonal Synchrony), where the follower (participant) tries to behave the same action along with the raiser (human or metronome), is an essential social interaction skill. The evaluation of interperso...
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Chapter and Conference Paper
Multiple Object Tracking by Joint Head, Body Detection and Re-Identification
Multi-object tracking (MOT) is an important problem in computer vision which has a wide range of applications. Formulating MOT as multi-task learning of object detection and re-Identification (re-ID) in a sing...
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Chapter and Conference Paper
Perceptual Properties of Fingertips Under Electrotactile Stimulation
To sense and represent electrotactile perceptual properties is a crucial milestone in order to achieve intuitive haptics. However, electrotactile perceptual properties are very poorly studied. This study prese...
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Chapter and Conference Paper
Detecting Temporal Pain Status of Postoperative Children from Facial Expression
Insufficient analgesia during resuscitation of postoperative children may lead to sequelae such as atelectasis and worsening respiratory function, so timely and accurate detection of pain status in children is...
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Chapter and Conference Paper
Dynamic Hand Gesture Recognition for Numeral Handwritten via A-Mode Ultrasound
In recent years, due to the defects of weak sEMG signal, insensitive to fine finger movement and serious impression by noise, researchers consider the need to use A-mode ultrasound (AUS) for gesture decoding. ...
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Chapter and Conference Paper
Multi-task Facial Landmark Detection Network for Early ASD Screening
Joint attention is an important skill that involves coordinating the attention of at least two individuals towards an object or event in early child development, which is usually absent in children with autism...
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Chapter and Conference Paper
A Coarse-to-Fine Human Visual Focus Estimation for ASD Toddlers in Early Screening
Human visual focus is a vital feature to uncover subjects’ underlying cognitive processes. To predict the subject’s visual focus, existing deep learning methods learn to combine the head orientation, location,...
