AIMC Topic: Wearable Electronic Devices

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Design of a Robust Tool for Deploying Large-Area Stretchable Sensor Networks from Microscale to Macroscale.

Sensors (Basel, Switzerland)
An investigation was conducted to develop an effective automated tool to deploy micro-fabricated stretchable networks of distributed sensors onto the surface of large structures at macroscale to create "smart" structures with embedded distributed sen...

Ultralow Power Wearable Organic Ferroelectric Device for Optoelectronic Neuromorphic Computing.

Nano letters
In order to imitate brain-inspired biological information processing systems, various neuromorphic computing devices have been proposed, most of which were prepared on rigid substrates and have energy consumption levels several orders of magnitude hi...

Recent Advances in Touch Sensors for Flexible Wearable Devices.

Sensors (Basel, Switzerland)
Many modern user interfaces are based on touch, and such sensors are widely used in displays, Internet of Things (IoT) projects, and robotics. From lamps to touchscreens of smartphones, these user interfaces can be found in an array of applications. ...

Neuro-inspired electronic skin for robots.

Science robotics
Touch is a complex sensing modality owing to large number of receptors (mechano, thermal, pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather and encode the large tactile data, allowing us to feel and perceive t...

PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data.

Computers in biology and medicine
While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen before the symptom onset acted as the Achilles' heel. Although reverse transcri...

Evaluation of surgical skill using machine learning with optimal wearable sensor locations.

PloS one
Evaluation of surgical skills during minimally invasive surgeries is needed when recruiting new surgeons. Although surgeons' differentiation by skill level is highly complex, performance in specific clinical tasks such as pegboard transfer and knot t...

Printed synaptic transistor-based electronic skin for robots to feel and learn.

Science robotics
An electronic skin (e-skin) for the next generation of robots is expected to have biological skin-like multimodal sensing, signal encoding, and preprocessing. To this end, it is imperative to have high-quality, uniformly responding electronic devices...

Soft, Lightweight Wearable Robots to Support the Upper Limb in Activities of Daily Living: A Feasibility Study on Chronic Stroke Patients.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Stroke can be a devastating condition that impairs the upper limb and reduces mobility. Wearable robots can aid impaired users by supporting performance of Activities of Daily Living (ADLs). In the past decade, soft devices have become popular due to...

A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions.

Artificial intelligence in medicine
The continuous monitoring of an individual's breathing can be an instrument for the assessment and enhancement of human wellness. Specific respiratory features are unique markers of the deterioration of a health condition, the onset of a disease, fat...

Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor.

IEEE journal of translational engineering in health and medicine
Human Activity Recognition (HAR) systems are devised for continuously observing human behavior - primarily in the fields of environmental compatibility, sports injury detection, senior care, rehabilitation, entertainment, and the surveillance in inte...