- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Acoustic Wave Phenomena Research
- Brain Tumor Detection and Classification
- Advanced Adaptive Filtering Techniques
- Retinal Imaging and Analysis
- Indoor and Outdoor Localization Technologies
- Image and Signal Denoising Methods
- Speech and Audio Processing
- Gaze Tracking and Assistive Technology
- Underwater Vehicles and Communication Systems
- Tactile and Sensory Interactions
- Orbital Angular Momentum in Optics
- Artificial Intelligence in Healthcare
- Remote Sensing and Land Use
- Hearing Loss and Rehabilitation
- Nutritional Studies and Diet
- Microfluidic and Bio-sensing Technologies
- Cardiovascular Health and Risk Factors
- Image Enhancement Techniques
- Music and Audio Processing
- Context-Aware Activity Recognition Systems
- Glaucoma and retinal disorders
Tianjin University
2022-2024
Alzheimer's disease (AD) is a degenerative neurological that occurs in the elderly with typical symptoms of decline cognition, manifested by eye movement behaviors. The key to AD treatment requires early detection cognitive impairment, which relies on frequent medical screening. This article proposes an Internet Things (IoT) architecture constructed eye-tracker (ET) nodes and cloud-based diagnosis enabled machine learning (ML), can provide convenient screening oculomotor abnormalities...
In recent years, many fusion algorithms based on multi-scale transform or neural networks have been proposed to improve medical image (MIF) performance. However, there is still enormous potential explore the combination of different theories. this paper, we propose a novel MIF framework integrate powerful feature representation abilities deep learning model and accurate frequency decomposition characteristics discrete wavelet (DWT). Firstly, encoder-decoder network well-trained extract...
Diabetes mellitus is a chronic disease that affects over 500 million people worldwide, necessitating personalized health management programs for effective long-term control. Among the various biomarkers, glycated hemoglobin (HbA1c) crucial indicator monitoring blood glucose levels and assessing diabetes progression. This study introduces an innovative approach to by integrating mobile application machine learning. We designed implemented intelligent capable of collecting comprehensive data...
The parametric acoustic effect has gained much interest in airborne applications as loudspeakers (PALs) for the unique characteristics of generating self-demodulated low-frequency waves with high directivity. development PAL currently requires advanced spatial control demodulated audio signals more sophisticated sound field reproduction. Targeting to enhance flexibility, this paper proposes an efficient, fully FPGA-based system provide multiple low-distortion different contents separate...
Eye-tracking technology is increasingly used in applications such as 3D displays and human-computer interaction (HCI). However, most current eye trackers focus on 2D point-of-gaze (PoG) estimation cannot provide accurate gaze depth. Concerning future HCI with displays, we propose an integrated binocular eye-tracking device stereo stimuli to highly PoG estimation. In our device, the imaging system can users a friendly immersive visual experience without wearing any accessories. The...
Sound source localization is essential for machine-based environmental perception when visual methods are not applicable. Current array-based often require many microphones and heavy in computing. This article proposes an efficient algorithm estimating the location of a single 3-D based on time difference arrival interaural level (TDOA-ILD) with array only three microphones. The can compute coordinates closed-form analytical solution derived from geometrical modeling identify actual cone...
The phenomenon of acoustic radiation forces generated by air-coupled ultrasound has been explored to provide contactless tactile feedback in mid air. This letter evaluates the potential using vortex beams produced a 16-element planar transducer array for mid-air haptics. Simulation studies and practical experiments confirm that unfocused offer advantages over traditional point-focused providing large areas plane-like haptic sensations with naturally distributed pressure hot spots. also...
In recent years, extensive research has been conducted on visible and infrared image fusion (VIF) task using traditional multi-scale transform-based deep learning model-based methods. However, there is still a need to explore the combination of neural networks transform. This paper proposes novel framework based dual-path encoder-decoder A encoder trained extract rich features at different depths from source images, while shared decoder efficiently reconstruct images extracted feature space....
This paper presents a magnetic matching-aided indoor localization system based on waist-mounted self-contained sensor array. Our purpose is to localize and track the elderly in nursing homes through proposed wearable device ensure their safety. The consists of low-cost 9-axis array, microcontroller, WiFi transmission module. uses step length heading-based pedestrian dead reckoning (PDR) framework as backbone estimate user’s position using averaged inertial data from A fingerprint matching...
Monotone noises at high decibels have been identified as a main cause of degradation in people’s mental health. This paper proposes directional monotone noise reduction method to suppress spatially localized single-frequency noises. The system is designed based on feedforward active control (ANC) structure by implementing filtered-x least mean square (FxLMS) algorithms. Compared with traditional ANC methods, our employs parametric array loudspeaker (PAL) the noise-canceling source audio...