Zhao Yuliang

• PhD
• Northeastern University at Qinhuangdao

Elderly individuals often suffer from underlying medical conditions, resulting in a significant decline in quality of life and a heightened susceptibility to depression. Presently, AI screening tools based on behavioral indicators offer an objective and effective approach to diagnosing depression. However, current AI depression screening tools are...

Motion recognition in IoT-based sensor systems is crucial for applications such as healthcare and human-computer interaction. However, one key challenge–data structure inconsistencies–complicates the performance of existing systems, particularly in dynamic real-world environments. Traditional fusion approaches lack the adaptability required to addr...

The integrity of railway track structures is gravely threatened by rail damage, posing significant risks to the safe operation of railway transportation systems. However, existing detection techniques, including computer vision, ultrasound, acoustic emission, and thermal imaging, exhibit inherent limitations in identifying minor defects and conceal...

Accurate three-dimensional positioning is fundamental for the safe movement of wheeled robots across multiple floors. However, achieving precise positioning of mobile systems in multilevel scenarios using low-cost sensors remains a significant challenge. This paper proposes a low-cost three-dimensional positioning method based on event-triggered ex...

Sea ice poses a significant hazard to vessels navigating in high-latitude maritime regions. To effectively prevent the collision between ships and large sea ice (such as icebergs) and other similar accidents, it is crucial to identify sea ice and its types in a timely and accurate manner. However, traditional sea ice identification techniques, such...

With the development of microelectromechanical systems (MEMS) and artificial intelligence technology, the application of wearable devices in human motion capture and recognition has gradually become a research hotspot. However, existing action recognition methods based on wearable sensors still face issues such as limited feature extraction capabil...

Depression is prevalent in patients with Parkinson's disease (PD), due to the dramatic negative impact that behavioral disorders have on daily life. Regrettably, most researchers in the past ignored the study of depression in PD patients, especially when depressive symptoms and PD symptoms are coupled together, it is difficult for researchers to re...

The diagnosis of depression in individuals with Parkinson's Disease (PD) through the utilization of multimodal fusion techniques represents a significant domain. The primary challenge involves the creation of a robust fusion framework to address the heterogeneity among different modalities effectively. However, previous studies primarily focused on...

The human perception system's information processing is intricately linked to the nonlinear response and gating effect of neurons. While piezoionics holds potential in emulating the pressure sensing capability of biological skin, the incorporation of information processing functions seems neglected. Here, ionic gating behavior in piezoionic hydroge...

Successfully detecting small pedestrians through vehicle camera sensors would greatly facilitate the development of autonomous driving safety applications. However, the existing pedestrian detection models applied to vehicle camera applications were limited by the scale confusion problem and the weak feature problem of small pedestrian targets. To...

Parkinson’s Disease (PD) is a prevalent neurodegenerative condition, ranking second in incidence only to Alzheimer’s disease. Presently, the diagnosis of PD using sensors and computer vision can recognize characteristics like speech, respiration, and gait in patients. However, these methods typically require the use of complex hardware systems or e...

Fault diagnosis based on vibration signals is widely used in various industrial production processes to prevent catastrophic accidents and ensure timely repairs. However, traditional fault diagnosis methods provide limited accuracy due to their inability to visually represent fault characteristics and heavy reliance on expert involvement. In this s...

The statistics of damaged buildings after natural disasters are crucial for rescue operations, especially for damaged buildings that are extremely challenging for object detection. There are unique spatial distribution problems in existing damaged building datasets, and different categories of building targets show obvious imbalance, especially whe...

Gait is a typical habitual human behavior and manifestation of personality. The unique properties of individual gaits may offer important clues in the assessment of personality. However, assessing personality accurately through quantitative gait analysis remains a daunting challenge. Herein, targeting young individuals, standardized gait data are o...

Parkinson’s disease (PD) is one of the fastest-growing neurological diseases in the world, characterized by impaired speech and walking abilities in patients. Currently, doctors usually assess the severity of PD based on these indicators. However, these methods have problems such as vague diagnostic criteria, low quantification, and poor accuracy....

Tracking and segmenting small targets in remote sensing videos on edge devices carries significant engineering implications. However, many semi-supervised video object segmentation (S-VOS) methods heavily rely on extensive video random-access memory (VRAM) resources, making deployment on edge devices challenging. Our goal is to develop an edge-depl...

The accurate measurement of the flatness of satellite devices is of great significance for performance of satellites. However, the planes to be measured on satellites have different sizes. Using a limited number of sensors to measure the flatness of large-scale planes, the point cloud repositioning required for multiple sampling will cause a sharp...

Traditional approaches to improving basketball players’ shooting skills rely on coaches’ experience in adjusting players’ biomechanical motions. However, such an approach cannot provide specific instructions or facilitate immediate feedback for improvement of the shooting motion. In this article, a method is presented to quantitatively evaluate fou...

Sports performance is often judged based on the results of a series of motions rather than observing and analyzing the detailed sequential motions that lead to the results. Hence, subjective feedback from the coaches is often ineffective in improving player performance. In this work, we custom-built a smart Internet-of-Things wristband motion senso...

Human activity recognition (HAR) has gained popularity in the field of computer vision such as video surveillance, security, and virtual reality. However, traditional methods are limited in terms of computations and holistic learning of human skeletal sequences. In this article, a new time‐series skeleton joint data imaging method is infused into a...

Electrochemical Immunosensing (EI) combines electrochemical analysis and immunology principles and is characterized by its simplicity, rapid detection, high sensitivity, and specificity. EI has become an important approach in various fields, such as clinical diagnosis, disease prevention and treatment, environmental monitoring, and food safety. How...

Drone detection is a significant research topic due to the potential security threats posed by the misuse of drones in both civilian and military domains. However, traditional drone detection methods are challenged by the drastic scale changes and complex ambiguity during drone flight, and it is difficult to detect small target drones quickly and e...

Arrhythmia is a marked symptom of many cardiovascular diseases (CVDs). Fast and accurate measurement of heart rate (HR) can lead to prompt detection of arrhythmia, which could be potentially life-threatening. However, it remains a challenge to robustly and remotely measure HR due to the typically changing ambient conditions surrounding human subjec...

The collision between sea ice and ship is a serious threat to navigation safety. However, the idea of using vibration data generated from ship-ice collisions to obtain physical information about sea ice, such as its type and thickness, is a novel method. This method overcomes the problem of traditional techniques (optical cameras and satellite remo...

High-precision apertures are of great significance for the manufacture and assembly of precision instruments. There are currently two common types of methods for aperture measurement: manual measurement methods and computer vision-based methods. The computer vision-based methods work by using industrial cameras and morphological operators and image...

The aircrafts and ships in visible remote sensing (RS) images are of different scales. They are difficult to detect as they may be easily obscured by complex weather conditions such as snow and cloud. Therefore, it is important to eliminate the interference of complex weather conditions in order to detect these multi-scale objects accurately. This...

Human Activity Recognition In article number 2200204, Yuliang Zhao, Chao Lian, Wen Jung Li and co-workers propose a smart ring to monitor human daily activities driven by a hierarchical decision algorithm. With this portable, reliable, and high-accuracy human activity recognition solution, users only need to wear the ring on the index finger, and t...

The increasing consumption of ducks and chickens in China demands characterizing carcasses of domestic birds efficiently. Most existing methods, however, were developed for characterizing carcasses of pigs or cattle. Here, we developed a non-contact and automated weighing method for duck carcasses hanging on a production line. A 2D camera with its...

Underneath the ear skin there are rich vascular network and sensory nerve branches. Hence, the 3D mapping of auricular electrophysiological signals can provide new biomedical perspectives. However, it is still extremely challenging for current sensing techniques to cover the entire ultra‐curved auricle. Here, a 3D graphene‐based ear‐conformable sen...

Predicting protein thermostability change upon mutation is crucial for understanding diseases and designing therapeutics. However, accurately estimating Gibbs free energy change of the protein remained a challenge. Some methods struggle to generalize on examples with no homology and produce uncalibrated predictions. Here we leverage advances in gra...

Statistical analysis of human daily activities contributes to time planning and health management. It also helps people make healthcare judgments and disease predictions when combined with big data technology. However, traditional methods for recognition of human daily activities based on vision and multisensors have limitations due to poor portabi...

An electrochemical HbA1c sensor with high sensitivity and good specificity is proposed based on the electrochemical immune principle. The reproducibility and conductivity of the electrode are improved by depositing gold nanoparticles (AuNPs) on the surface of the screen-printed electrode (SPE). The HbA1c antibodies are immobilized on the surface of...

Soft robots made of hydrogels are suited for underwater exploration due to their biocompatibility and compliancy. Yet, reaching high dexterity and actuation force for hydrogel-based actuators is challenging. Meanwhile, real-time proprioception is critical for feedback control. Moreover, sensor integration to mimic living organisms remains problemat...

Basketball has become one of the most popular sports and is generally popular in international sports events. However, how to effectively achieve shooting prediction and then guide shooting has become a major challenge. Different from the classical manual observation method, this paper proposes a real-time shooting prediction method based on vision...

To accurately recognize ordinary handwritten Chinese characters, it is necessary to recognize the normative level of these characters. This study proposes methods to quantitatively evaluate and recognize these characters based on their similarities. Three different types of similarities, including correlation coefficient, pixel coincidence degree,...

Small defects on the rails develop fast under the continuous load of passing trains, and this may lead to train derailment and other disasters. In recent years, many types of wireless sensor systems have been developed for rail defect detection. However, there has been a lack of comprehensive reviews on the working principles, functions, and trade-...

Aircrafts have been an important object of study in the field of multi-scale image object detection due to their important strategic role. However, the multi-scale detection of aircrafts and their key parts from remote sensing images can be a challenge, as images often present complex backgrounds and obscured conditions. Most of today’s multi-scale...

Multimodal sensing is crucial for soft robots’ environmental interaction and closed‐loop control. The sensing signals of mechanical deformation and temperature changes are often hard to differentiate manually. Herein, two hydrogel sensors are used for simultaneously proprioceptive, thermoceptive, and mechanoreceptive sensing. These stretchable sens...

The recognition of abnormal gait behavior is important in the field of motion assessment and disease diagnosis. Currently, abnormal gait behavior is primarily recognized by pressure and inertial data obtained from wearable sensors. However, the data drift and wearing difficulties for patients have impeded the application of these wearable sensors....

Glycated hemoglobin (HbA1c) is the gold standard for measuring glucose levels in the diagnosis of diabetes due to the excellent stability and reliability of this biomarker. HbA1c is a stable glycated protein formed by the reaction of glucose with hemoglobin (Hb) in red blood cells, which reflects average glucose levels over a period of two to three...

Time-series classification and prediction are widely used in many applications. However, traditional machine learning algorithms, due to their limitations, have difficulty improving the performance of time-series classification and prediction. Inspired by the recent successes of the deep learning technology in computer vision, we develop a new time...

The physical properties of a single cell, such as mass, volume, and density, are important indications of the cell's metabolic characteristics and homeostasis. Precise measurement of a single cell's mass has long been a challenge due to its minute size. It is only in the past 10 years that a variety of instruments for measuring living cellular mass...

Electrical connector is a main channel for the transmission of signals and energy signals within electrical device. Even a tiny skew and a missing pin of the electrical connector have a vital impact on the reliability and stability of electrical devices. However, due to the high requirements for positioning, it is difficult for traditional machine...

Enabling a single ring to recognize 3D keystrokes is a daunting challenge, especially for real-time keystrokes recognition. In this work, we integrated edge computing and machine learning algorithms into a microcontroller unit (MCU) of a smart ring so that keystrokes motion can be accurately recognized in real-time. We developed a multi-level decis...

The outbreak of COVID-19 has greatly changed everyone's lifestyle all over the world. One of the best ways to prevent the spread of infections is by washing hands properly. Although a number of hand hygiene monitoring systems have been proposed, they either cannot achieve high accuracy in practice or work only in limited environments such as hospit...

Untethered microrobots (UMRs) propelled by multiple external power sources have emerged as promising tools for biomedical applications, such as targeted cargo delivery (TCD), microsurgery, thrombolysis, medical imaging, etc. In particular, owing to their minimal invasiveness and capability of accessing hard‐to‐reach regions of the human body in a c...

Gait is a basic characteristic of human motion. Different gaits are usually associated with different body functions. Gait recognition has wide applications in clinical medicine, rehabilitation training, posture recognition, and other fields. At present, many wearable systems based on MEMS pressure and inertial sensors have been developed and used...

An IoT wristband for basketball shooting analysis, which can provide quantitative shooting guidance for basketball players in a convenient, low-cost manner, was developed. A micro inertial measurement unit (IMU) sensor-based wristband was used to collect the shooting motion data of 20 basketball players with different levels of skills: 15 amateur p...

In semiconductor foundries, wafer map defect analysis is crucial to prevent yield excursion. However, traditional manual inspection can hardly meet the high throughput demand. Deep learning based automatic defect detection shows promising efforts to achieve high accuracy and efficiency, yet the current approaches’ performance is limited by the imba...

In the last decades, a wide multitude of research activity has been focused on the development of new drugs, and devoted to overcome the challenges of high cost and low efficiency in drug evaluation. The measurement of drug response at the single cell level is a quicker, more direct and more accurate way to reflect drug efficacy, which can shorten...

Virtual keyboards could potentially replace traditional physical keyboards for text input and human-computer-interface due to their portability and comfortable usage characteristics. However, typical virtual keyboards such as wearable keyboards and camera-based keyboards have unsatisfactory input recognition accuracy, and hence, preventing them fro...

Differential scanning calorimetry (DSC) is a powerful technique to study temperature induced phase transitions by monitoring the heat capacity changes. Traditional ways of DSC data analysis require manual baseline subtraction and peak analysis, which inevitably leads to errors caused by human bias. To tackle this long-standing challenge, we propose...

Differential scanning calorimetry (DSC) is a powerful technique to study protein stability, since the DSC test data provides valuable insights to characterize protein folding thermodynamics. Researchers in the drug discovery field need to manually analyze the DSC curves in multiple steps, such as baseline subtraction, data fitting, integration, and...

The quantitative evaluation of sports motions is a precondition for scientific training and data-driven professional athletic motion analyses. However, the high accuracy and the portability of the evaluation schemes are contradictory and it is difficult to simultaneously improve both metrics in one device. In this work, we propose an effective gymn...

Multi-component detection of insulin and glucose in serum is of great importance and urgently needed in clinical diagnosis and treatment due to its economy and practicability. However, insulin and glucose can hardly be determined by traditional electrochemical detection methods. Their mixed oxidation currents and rare involvement in the reaction pr...

The traditional mouse has been used as a main tool for human-computer interaction for more than 50 years. However, it has become unable to cater to people’s need for mobile officing and all-weather use due to its reliance on the support of a two-dimensional plane, poor portability, wearisomeness, and other problems. In this paper, we propose a port...

Soft robots attracted surging interests in recent years due to its enhanced safety, and it significantly contributes to its human-robot interaction application. However, the compliant system has infinite dimensions, which remained challenging for accurate state perception and control. Embedded soft sensors are the potential solutions to this proble...

Arrhythmia is a marked symptom of many cardiovascular diseases (CVDs). The accurate and timely detection of heart rate can greatly reduce the harm of arrhythmia to people. However, it is still a challenge to robustly and remotely measure heart rate in daily life due to the changing environmental conditions during measurement, such as the varying li...

In table tennis, a 40 mm in diameter table tennis ball weighing 2.7g can reach the opponent’s table in a very short time when it travels at a speed of 17m/s. That is difficult for new players to hit accurately. The purpose of this work is to recognize hits and misses by distinguishing the action difference between hitting and missing table tennis....