A5100377448- Gait Recognition and Analysis
- Advanced Sensor and Energy Harvesting Materials
- Prosthetics and Rehabilitation Robotics
- Non-Invasive Vital Sign Monitoring
- Inertial Sensor and Navigation
- Human Pose and Action Recognition
- Muscle activation and electromyography studies
- Diabetic Foot Ulcer Assessment and Management
- Conducting polymers and applications
- Sports Performance and Training
- Video Surveillance and Tracking Methods
- Hand Gesture Recognition Systems
- Medical Image Segmentation Techniques
- Winter Sports Injuries and Performance
- Context-Aware Activity Recognition Systems
- Cerebral Palsy and Movement Disorders
- Image and Object Detection Techniques
- Optical Polarization and Ellipsometry
- Balance, Gait, and Falls Prevention
- Photoacoustic and Ultrasonic Imaging
- Automated Road and Building Extraction
- Autonomous Vehicle Technology and Safety
- Occupational and environmental lung diseases
- Lignin and Wood Chemistry
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Chinese University of Hong Kong, Shenzhen
2021-2025
Peking University
2025
Hebei University of Technology
2022-2024
Beijing Polytechnic
2023-2024
Sichuan University
2023-2024
Minzu University of China
2024
Dalian Maritime University
2021-2024
Henan Institute of Science and Technology
2024
Capital Medical University
2023-2024
Yanshan University
2023
A mechanically durable, highly stretchable, and ultra-sensitive ionogel-based i-skin (MIS) with a biomimetic micronanostructure has been fabricated. Moreover, the resultant MIS-based sensors high sensitivity durability are competent in multifarious application settings.
When convolutional neural networks (CNNs) are applied to the synthetic aperture radar (SAR) image classification, they prone overfitting due scarce SAR data, and CNNs require a large amount of storage long computing time, so it is difficult deploy them on resource constrained devices. This letter proposes simple feasible approach that can effectively solve these problems. First, layers pretrained model ImageNet data set transferred, new layer global pooling added afterward. Then, fine-tuning...
Triboelectric nanogenerators (TENGs) as self-powered sensing devices have attracted extensive interest in the field of flexible wearable electronics. Endowing TENGs with excellent environmental adaptability and high sensitivity is considered to be one promising strategies satisfy future intelligent electronic devices. The interference a humid environment common bare electrode has been great hindrance output performance TENGs. In this paper, core–shell superhydrophobic triboelectric...
The gait recognition of exoskeletons includes motion and phase under various road conditions. is a prerequisite for predicting exoskeleton assistance time. estimation real-time time crucial the safety accurate control lower-limb exoskeletons. To solve problem time, this paper proposes model based on inertial measurement units that combines state support vector machines long short-term memory networks. A validation experiment was conducted 30 subjects to determine reliability model. results...
A correct riding posture is essential for a good performance in equestrian. This paper proposes method of equestrian analysis based on body sensor networks. First all, raw data corresponding to professional (PRO) riders and beginners (BEGs) under different horse gaits were collected by inertial nodes. Then, after an initial alignment with the reduced error, kind motion reconstruction gradient descent was used fuse constantly update rider's attitude information. In addition, evaluate tracking...
Motion capture based on wearable inertial sensors is a promising technique for swimmers' training. To apply motion techniques properly, swimming evaluation method technology proposed. Our proposed uses multisensor data fusion algorithm attitude estimation, and the posture reconstructed in combination with human biomechanical model. Furthermore, comparative experiment between our system NDI tracking shows that performs reliably accurately, estimation errors are well controlled. In addition,...
This paper presents a versatile multi-sensor fusion method and decision-making algorithm for ambulatory continuous patient monitoring purposes via body sensor network (BSN). Gait features including spatio-temporal parameters, gait asymmetry, regularity were identified estimated from individual patients data collected clinical trials. Hence, assessment diagnosis of the improvement or deterioration lower limb rehabilitation process is ensured. The experimental results 10-m free walking trials...
Benefiting from the development of Internet Healthcare Things (IoHT) in recent years, locomotion mode recognition using wearable sensors plays a more and important role field in-home rehabilitation. In this paper, smart sensing system utilizing flexible electromyography (EMG) forty-eight-channel plantar stress distribution sensor for is presented, together with its use under IoHT architecture. EMG (PSD) information ten healthy subjects five common modes daily life were collected, analyzed,...
The past several years have witnessed the rapid development of task road extraction in high-resolution remote sensing images. However, due to complex background and distribution, is still a challenging research In convolutional neural networks (CNNs), U-shaped architecture network has shown its effectiveness. But global representation cannot be captured effectively by CNNs. While transformer, self-attention (SA) module can capture long-distance feature dependencies. A hybrid encoder-decoder...
Bicyclo[3.1.0]hexane is a structural motif of the bioactive, naturally occurring cryptotrione and could be realized via Pt- or Au-catalyzed reaction on 1,5-enyne with good control diastereoselectivity. In this work, we perform density functional theory (DFT) study that provides mechanistic insight into intriguing discloses origin diastereoselectivity reactivity. Distortion/interaction analyses computational models reveal diastereoselective cyclization [Pt]-catalyzed β-enyne favors transition...
As the population ages, herpes zoster (HZ) and postherpetic neuralgia, which are associated with a substantial disease burden, expected to increase. Ningbo began implement Vaccination Prescription Program for community individuals in April 2022. The anonymized HZ vaccination records of aged above 50 during 2020-2023 were extracted from Immunization Information Management System. We applied interrupted time series analyses controlling long-term trends seasonality assess effects program on...
Human gait reflects health condition and is widely adopted as a diagnostic basisin clinical practice. This research adopts compact inertial sensor nodes to monitor the functionof human lower limbs, which implies most fundamental locomotion ability. The proposedwearable analysis system captures limb motion reconstructs 3D models with high accuracy.It can output kinematic parameters of joint flexion extension, well displacementdata limbs. experimental results provide strong support for quick...
Wearable motion capture technique is widely used in kinematic analysis, which contributes to understanding patterns and provides quantitative data on human postures. Swimming stroke phase plays an important role spatial-temporal swimming parameters. As a sporting pattern that involves all limbs, the more complicated than gait makes segmentation new issue of recognition. This article focuses as classification. By analyzing posture given by system, could be described qualitatively obtain...
Coaches and athletes are constantly seeking novel training methodologies in an attempt to improve athletic performance. This paper proposes a method of rowing sport capture analysis based on Inertial Measurement Units (IMUs). A canoeist’s motion was collected by multiple miniature inertial sensor nodes. The gradient descent used fuse data obtain the attitude information after calibration, then motions actions were reconstructed. Stroke quality performed estimated joint angles. Machine...