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Wearable Electronic Devices

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Soft Capacitive Pressure Sensors: Trends, Challenges, and Perspectives.

ACS nano
Soft pressure sensors are critical components of e-skins, which are playing an increasingly significant role in two burgeoning fields: soft robotics and bioelectronics. Capacitive pressure sensors (CPS) are popular given their mechanical flexibility,...

MhNet: Multi-scale spatio-temporal hierarchical network for real-time wearable fall risk assessment of the elderly.

Computers in biology and medicine
Continuous fall risk assessment and real-time high falling risk warning are extremely necessary for the elderly, to protect their lives and ensure their quality of life. Wearable in-shoe pressure sensors have the potential to achieve these targets, d...

Improving Wearable-Based Activity Recognition Using Image Representations.

Sensors (Basel, Switzerland)
Activity recognition based on inertial sensors is an essential task in mobile and ubiquitous computing. To date, the best performing approaches in this task are based on deep learning models. Although the performance of the approaches has been increa...

Compressed Deep Learning to Classify Arrhythmia in an Embedded Wearable Device.

Sensors (Basel, Switzerland)
The importance of an embedded wearable device with automatic detection and alarming cannot be overstated, given that 15-30% of patients with atrial fibrillation are reported to be asymptomatic. These asymptomatic patients do not seek medical care, he...

A Predictive Analysis of Heart Rates Using Machine Learning Techniques.

International journal of environmental research and public health
Heart disease, caused by low heart rate, is one of the most significant causes of mortality in the world today. Therefore, it is critical to monitor heart health by identifying the deviation in the heart rate very early, which makes it easier to dete...

Multifunctional Electronic Skins Enable Robots to Safely and Dexterously Interact with Human.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Human-robot collaboration is playing more and more important roles in current deployments of robotic systems in our lives. Haptic perception and intelligent control are essential to ensure safety and efficiency of human-robot interaction. However, ex...

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances.

Sensors (Basel, Switzerland)
Mobile and wearable devices have enabled numerous applications, including activity tracking, wellness monitoring, and human-computer interaction, that measure and improve our daily lives. Many of these applications are made possible by leveraging the...

A machine learning-based on-demand sweat glucose reporting platform.

Scientific reports
Diabetes is a chronic endocrine disease that occurs due to an imbalance in glucose levels and altering carbohydrate metabolism. It is a leading cause of morbidity, resulting in a reduced quality of life even in developed societies, primarily affected...

An End-to-End Deep Learning Pipeline for Football Activity Recognition Based on Wearable Acceleration Sensors.

Sensors (Basel, Switzerland)
Action statistics in sports, such as the number of sprints and jumps, along with the details of the corresponding locomotor actions, are of high interest to coaches and players, as well as medical staff. Current video-based systems have the disadvant...

Ultrathin Eardrum-Inspired Self-Powered Acoustic Sensor for Vocal Synchronization Recognition with the Assistance of Machine Learning.

Small (Weinheim an der Bergstrasse, Germany)
With the rapid development of human-machine interfaces, artificial acoustic sensors play an important role in the hearing impaired. Here, an ultrathin eardrum-like triboelectric acoustic sensor (ETAS) is presented consisting of silver-coated nanofibe...