Latest Articles for Wearable Devices

Research into smartwatch usage and data sharing comfort among users.

This study focuses on predicting gait values using advanced deep learning models.

This research enhances action recognition using 2D hand movements from smart glasses.

A new approach to enhance e-health through improved data management and patient privacy.

TROT improves accuracy in recognizing human activities by leveraging temporal relationships.

Exploring how machine learning improves human activity recognition from sensor data.

Myoelectric control technology is evolving, offering new interaction methods with computers.

This article discusses new methods for monitoring heart and brain activity.

New dataset explores radar use for tracking heart and respiratory rates in adults.

A new method enhances privacy and efficiency in face verification using lensless imaging.

Exploring the impact of RPM on patient care and healthcare costs.

This article explores how differential privacy safeguards ECG data in healthcare.

New modular fNIRS technology enhances brain monitoring in real-life situations.

New radar technology monitors heart rate during sleep and meditation without discomfort.

A new method using electric fields enhances step counting accuracy.

A new method helps smaller models perform better using hints from larger models.

New model simplifies Human Activity Recognition using standard devices.

A reliable earbud-based system monitors breathing rates during various daily activities.

Helios offers a low-power gesture recognition system for smart eyewear.

How wearable technology and LLMs are changing health monitoring and data interpretation.

Wearable device records internal sounds and health metrics for better monitoring.

A new method transforms single-lead ECG data into comprehensive 12-lead readings.

Using smart devices, real-time stress monitoring is now easier and more accurate.

A method that reduces gestures needed for biometric enrolment through synthetic data.

Introducing a system for creating intelligent wearable assistants that personalize user support.

i-CardiAx is a wearable device for early sepsis detection through continuous vital sign monitoring.

A flexible wearable radar antenna enhances mobility for visually impaired individuals.

MSPTDfast enhances beat detection speed in health monitoring devices.

Wearable devices and algorithms aim to detect sepsis earlier for better patient care.

MetaWearS improves wearable devices with efficient updates and less data.

JetUnit uses water jets for realistic force feedback in virtual reality.

A new approach to simplify data labeling using vision models.

WhisperMask captures voice clearly in noisy places, enhancing communication.

A novel approach to monitor heart events using seismocardiography without ECG.

A new model generates synthetic signals for better health data analysis.

New methods enable non-invasive blood pressure monitoring through wearable devices.

A novel approach to track heart rates using neuromorphic technology.

Study highlights smartwatch potential for detecting heart rhythm irregularities.

A new system improves accuracy and efficiency in measuring stress through EDA.

Examining how fitness trackers show data during physical activities.