Search Results for author:
Found 19 papers, 5 papers with code
Camera-Based Remote Physiology Sensing for Hundreds of Subjects Across Skin Tones
Remote photoplethysmography (rPPG) emerges as a promising method for non-invasive, convenient measurement of vital signs, utilizing the widespread presence of cameras.
Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention
Participants preferred the adaptive interventions and rated the system highly on intervention time accuracy, effectiveness, and level of trust.
Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer
Additionally, the power consumption of the transformer block is reduced by a factor of 12. 2, while maintaining decent performance as PhysFormer and other ANN-based models.
Voila-A: Aligning Vision-Language Models with User's Gaze Attention
In this paper, we introduce gaze information, feasibly collected by AR or VR devices, as a proxy for human attention to guide VLMs and propose a novel approach, Voila-A, for gaze alignment to enhance the interpretability and effectiveness of these models in real-world applications.
A Comprehensive Dataset and Automated Pipeline for Nailfold Capillary Analysis
In this study, we present a pioneering effort in constructing a comprehensive nailfold capillary dataset-321 images, 219 videos from 68 subjects, with clinic reports and expert annotations-that serves as a crucial resource for training deep-learning models.
ALPHA: AnomaLous Physiological Health Assessment Using Large Language Models
Our findings reveal that LLMs exhibit exceptional performance in determining medical indicators, including a Mean Absolute Error (MAE) of less than 1 beat per minute for heart rate and less than 1% for oxygen saturation (SpO2).
A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
Then, we investigate the taxonomy of security and privacy threats to AIGC and highlight the ethical and societal implications of GPT and AIGC technologies.
Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images
Modeling the trade-off of privacy preservation and machine recognition performance can guide future privacy-preserving computer vision systems using low-resolution image sensors.
EarCough: Enabling Continuous Subject Cough Event Detection on Hearables
Subject cough event detection is the foundation for continuous cough monitoring.
GazeReader: Detecting Unknown Word Using Webcam for English as a Second Language (ESL) Learners
Automatic unknown word detection techniques can enable new applications for assisting English as a Second Language (ESL) learners, thus improving their reading experiences.
MMPD: Multi-Domain Mobile Video Physiology Dataset
Second, most datasets are relatively small and therefore are limited in diversity, both in appearance (e. g., skin tone), behaviors (e. g., motion) and environment (e. g., lighting conditions).
Social-Aware Clustered Federated Learning with Customized Privacy Preservation
In this paper, we strike the balance of data privacy and efficiency by utilizing the pervasive social connections between users.
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach
The proliferation of unmanned aerial vehicles (UAVs) opens up new opportunities for on-demand service provisioning anywhere and anytime, but also exposes UAVs to a variety of cyber threats.
MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition
The efficiency evaluation on an edge device showed that MMTSA achieved significantly better accuracy, lower computational load, and lower inference latency than SOTA methods.
rPPG-Toolbox: Deep Remote PPG Toolbox
Camera-based physiological measurement is a fast growing field of computer vision.
Energy-Efficient and Physical Layer Secure Computation Offloading in Blockchain-Empowered Internet of Things
Existing blockchain-based computation offloading schemes usually focus on network performance improvements, such as energy consumption minimization or latency minimization, and neglect the Gas fee for computation offloading, resulting in the dissatisfaction of high Gas providers.
Mobile Wireless Rechargeable UAV Networks: Challenges and Solutions
Unmanned aerial vehicles (UAVs) can help facilitate cost-effective and flexible service provisioning in future smart cities.
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing
Camera-based contactless photoplethysmography refers to a set of popular techniques for contactless physiological measurement.
SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices
In this work, we demonstrate state-of-the-art latency and accuracy for on-device super-resolution using a novel hybrid architecture called SplitSR and a novel lightweight residual block called SplitSRBlock.
