AIMC Topic: Wearable Electronic Devices

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Wearable sensors for monitoring workplace chemical exposures in occupational health management.

Analytical methods : advancing methods and applications
This review evaluates the current state of wearable chemical sensors for occupational health applications, emphasizing both their promise and their limitations. We systematically compare electrochemical, optical, photoionization, and chemiresistive p...

Gait recognition using spatio-temporal representation fusion learning network with IMU-based skeleton graph and body partition strategy.

PloS one
The precise recognition of human lower limb movements based on wearable sensors is very important for human-computer interaction. However, the existing methods tend to ignore the dynamic spatial information in the process of executing human lower lim...

Wearable microfluidic devices for multiplex body fluid monitoring.

The Analyst
Wearable microfluidic devices enable multiplexed, continuous monitoring of analytes in body fluids such as sweat, interstitial fluid, tears, and saliva, providing comprehensive data for personalized health management and disease diagnosis. These devi...

Self-Powered Wireless Piezoelectric Sensor Based on Polyamide Elastomer/BaTiO for Machine Learning-Assisted Human Motion Monitoring.

ACS applied materials & interfaces
In the field of self-powered sensing, the need for wearing comfort and flexibility of the material is increasing. Although piezoelectric ceramics have excellent piezoelectric properties, their poor flexibility limits their application range. In the q...

Smart physical activity monitoring for preventing shoulder impingement syndrome.

Scientific reports
Shoulder impingement syndrome (SIS) is a prevalent musculoskeletal condition requiring effective preventive strategies. This study introduces a comprehensive approach to SIS prevention through smart physical activity monitoring. Wearable sensors, inc...

An infection prediction model developed from inpatient data can predict out-of-hospital COVID-19 infections from wearable data when controlled for dataset shift.

Scientific reports
The COVID-19 pandemic highlighted the importance of early detection of illness and the need for health monitoring solutions outside of the hospital setting. We have previously demonstrated a real-time system to identify COVID-19 infection before diag...

Adaptive temporal attention mechanism and hybrid deep CNN model for wearable sensor-based human activity recognition.

Scientific reports
The recognition of human activity by wearable sensors has garnered significant interest owing to its extensive applications in health, sports, and surveillance systems. This paper presents a novel hybrid deep learning model, termed CNNd-TAm, for the ...

Wearable interactive full-body motion tracking and haptic feedback network systems with deep learning.

Nature communications
The increasing demand for motion tracking systems has been accelerated by advancements in virtual reality (VR) and motion reconstruction technologies. Combined with emerging innovations in the Internet of Things (IoT), these systems have unlocked tra...

Management of Irritable Bowel Syndrome: The Role of Digital Health Technologies.

Journal of gastrointestinal and liver diseases : JGLD
Functional Gastrointestinal Disorders (FGIDs), including conditions such as irritable bowel syndrome (IBS) and functional dyspepsia, affect millions worldwide, significantly impairing quality of life and increasing healthcare utilization. These disor...

From zero- to few-shot: deep temporal learning of wrist EMG enables scalable cross-user gesture recognition.

Journal of neural engineering
Wrist electromyography (EMG) is emerging as an enticing wearable input modality for human-machine interaction. Traditionally recorded from the forearm for use in transradial prostheses, wrist-based EMG sensors are now being integrated into devices su...