A5067306406- Non-Invasive Vital Sign Monitoring
- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
- Advanced Image and Video Retrieval Techniques
- Insect Pheromone Research and Control
- Multimodal Machine Learning Applications
- RFID technology advancements
- Sentiment Analysis and Opinion Mining
- EEG and Brain-Computer Interfaces
- Metal Extraction and Bioleaching
- Visual Attention and Saliency Detection
- Biosensors and Analytical Detection
- Advanced Chemical Sensor Technologies
- Microwave Imaging and Scattering Analysis
- Polyoxometalates: Synthesis and Applications
- Image Retrieval and Classification Techniques
- Gas Sensing Nanomaterials and Sensors
- Physical Unclonable Functions (PUFs) and Hardware Security
- Video Surveillance and Tracking Methods
- Optical Imaging and Spectroscopy Techniques
- Emotion and Mood Recognition
- Biometric Identification and Security
- Adversarial Robustness in Machine Learning
- Indoor and Outdoor Localization Technologies
- Hemodynamic Monitoring and Therapy
Beijing University of Posts and Telecommunications
2018-2024
Affective computing has attracted researchers' attention in recent years. Emotion recognition is part of affective computing, which aims to recognize how the person feels, such as happy, sad, anger, disgust, fear, surprise. Traditional works about emotion mainly focus on characteristic itself, audio, text, facial expression, body posture. However, feelings people can easily be affected by context information. In this paper, we utilize construct an graph reason emotional states. detail,...
Contact-less liquid identification via wireless sensing has diverse potential applications in our daily life, such as identifying alcohol content liquids, distinguishing spoiled and fresh milk, even detecting water contamination. Recent works have verified the feasibility of utilizing mmWave radar to perform coarse-grained material identification, e.g., discriminating carpet. However, they do not fully exploit limits terms fine-grained classification. In this paper, we propose FG-LiquID, an...
Blood pressure (BP), an important vital sign to assess human health, is expected be monitored conveniently. The existing BP monitoring methods, either traditional cuff based or newly emerging wearable based, all require skin contact, which may cause unpleasant user experience and even injurious certain users. In this article, we explore contactless propose airBP, emits millimeter-wave signals toward a user’s wrist, captures the reflected signal bounded off from pulsating artery underlying...
Respiratory rate (RR) is of great value in health care, especially when it can be continuously monitored using wearable devices daily life. Recent works employ photoplethysmography (PPG) on smartwatch for continuous respiration monitoring, based a certain medical discovery called respiratory sinus arrhythmia (RSA), which describes the relationship between and heart rate. However, we find that these fall short robustness. In particular, estimation accuracy drops significantly people breathe...
Wireless sensing offers a promising approach to identify the content of liquids without opening container or directly touching liquid. Although existing methods aim achieve fine-grained identification, i.e., distinguishing 1% v/v difference in alcohol content, they still have limitations detecting highly deceptive counterfeit liquors that much smaller differences, sometimes as low 0.2% content. In this paper, we propose mm Taster, mobile system combines mmWave radar with smartphone perform...
With the rapid growth of online videos, video advertising, as a main source income for streaming websites, has attracted increasing attention. It is challenging to insert advertisements at suitable positions while preserving comfortable watching experience users. Existing methods usually fixed and neglect variations scenes, which can extremely reduce attractiveness videos due intrusion important visual elements. In this paper, we propose method automatically generate embed appealing textual...
Cuff-less methods, especially pulse wave analysis (PWA) techniques with PPG/mmWave sensing, have shown great potential for non-intrusive blood pressure (BP) monitoring. However, the state-of-the-art solutions are only validated on small-scale healthy subjects, neglecting patients abnormal BP and thus a more urgent need To bridge gap, we first build largest mmWave-BP dataset to our knowledge, including 930 real cardiovascular diseases, perform extensive experiments, which reveals that all...
Crowdsourcing provides a novel and effective way of constructing location image database for mobile visual recognition. Compared with traditional databases, crowdsourced has richer information images, various angles, times, distances weathers, providing great potential high recognition accuracy. However, it is inevitable to have disturbances on these hindering the potential. To address this challenge, we first propose Common Crucial Feature (CCF) detection algorithm exclude unimportant...
Gait recognition based on millimeter waves (mmWave) can recognize people's identity information by sensing their walking posture, which has found versatile usages in many fields, such as smart home, intelligent security, and health monitoring. While this technology gained extensive attention recent years, its possibility of being misused is also increasing. The snooper who misuses the could monitor victim's information, imperceptible due to characteristics mmWave-based gait recognition. In...