Articles tagged with Sensors
Scientists at the University of Texas at Austin and UCLA have created an e-tattoo that can measure brain activity using electroencephalography (EEG). The new method uses a camera to map the individual head's shape digitally, allowing for more precise sensor placement. This innovation could transform brain-computer interfaces, making th...
Scientists have developed a liquid ink that can be printed onto a patient's scalp to measure brain activity, offering an alternative to traditional EEG tests. The e-tattoo technology is quick, comfortable, and stable, with potential applications in non-invasive brain-computer interface devices.
Researchers from Brazil and Spain developed computer models to estimate crop maturity and yield using remote sensing technologies, increasing productivity and reducing CO2 emissions. They also created a system to estimate soil moisture levels with high accuracy, helping growers manage water usage more efficiently.
Researchers demonstrate transverse thermoelectric conversion in WSi2 for the first time, using mixed-dimensional Fermi surfaces to enable TTE effect. The study paves the way for developing new sensors and efficient thermoelectric materials.
A team of researchers developed a novel sensor that attaches directly to the underside of plant leaves to measure leaf color without blocking sunlight. The sensor can track changes in the same spot over time and provides fine-tuned readings for real-time monitoring.
Researchers in Lithuania have developed Forest 4.0, a smart forest data processing model that enables real-time monitoring of forest conditions, sustainable resource accounting, and transparent governance. The system uses IoT sensors and AI algorithms to detect tree diseases, illegal logging, and predict changes in forest ecosystems.
A novel physical reservoir computing device uses a dye-sensitized solar cell to mimic human synaptic elements, enabling efficient time-series data processing and low power consumption. The device achieved high computational performance in tasks such as human motion classification with over 90% accuracy.
A team of researchers at the University of California San Diego has developed a clinically validated, wearable ultrasound patch for continuous and noninvasive blood pressure monitoring. The device offers precise, real-time readings of blood pressure deep within the body, providing detailed trends in blood pressure fluctuations.
The 8th Digital Olfaction Society World Congress highlights groundbreaking advancements in digital olfaction, from smart necklaces to drones equipped with olfactory sensors. The event showcases innovative applications of scent digitization technologies, including virtual reality systems and e-nose devices for early disease detection.
Researchers have developed sensitive ceramic sensors that can selectively respond to pressure or temperature, which are integrated into a prosthetic hand and a robotic skin. The goal is to enable safe collaboration between humans and machines, with applications in medicine and industry.
Researchers developed a system that uses machine learning to recognize touching on the skin, achieving over 96% accuracy. The EgoTouch tool can detect various types of touch, including force and gesture, and has potential applications for skin-based interfaces and virtual reality.
Researchers at Aalto University have designed realistic photonic time crystals that exponentially amplify light, paving the way for faster and more compact optical devices. The discovery has potential applications in nanosensing, imaging, and communication.
The Digital Olfaction Summit 2024 will present the latest developments in digital olfaction, including portable sensors like Scout3 and NeOse, and wearable devices for real-time scent detection. The event will also feature a unique challenge to digitize scents representing regional cultural essence.
PanoRadar leverages radio waves and AI to enable robots to navigate challenging environments like smoke-filled buildings or foggy roads with high resolution. The system combines measurements from all rotation angles to enhance imaging resolution, creating a dense array of virtual measurement points.
A TU Wien-developed robot can learn to clean a sink by watching humans perform the task, adapting its knowledge to different shapes and applying the right amount of force. The technology combines machine learning and robotics, enabling robots to share their parameters through federated learning.
Researchers have developed ultrasensitive sensors that can detect isoprene levels in the parts-per-billion range, a decline of which can indicate lung cancer. The sensors, made with indium oxide-based nanoflakes, showed promise in distinguishing lung cancer patients from healthy individuals.
Researchers at UC San Diego have developed battery-free RFID sensors that enable real-time sensing and tracking of environmental parameters like temperature and humidity. These sensors have the potential to revolutionize various industries such as agriculture, athletics, and occupancy detection.
Researchers have deployed a buoy off the coast of Perth to measure algae levels and improve satellite data accuracy for NASA's PACE mission. The project aims to study the impact of phytoplankton on ocean health and climate regulation, with potential benefits in combating climate change.
A full textile energy grid can be wirelessly charged, powering wearable sensors, digital circuits, and even temperature control elements. The system uses MXene ink printed on nonwoven cotton textiles, demonstrating its viability for integrated textile-based electronics.
A new reinforcement learning framework, AVATARS, uses diverse sensor streams to track whales and predict their surface locations. The framework aims to minimize missed encounters and improve data collection for Project CETI.
A research team from Hokkaido University has developed a flexible multimodal wearable sensor patch that can detect arrhythmia, coughs, and falls using edge computing on a smartphone. The sensor patch generates large amounts of data that must be processed to be understood.
Researchers developed a screening technique to filter out low-quality data in wearable sensors, improving the performance of smartwatches for noninvasive blood glucose estimation. The approach enhances accuracy by discarding data with high phase errors and approximating missing values.
Researchers at Tampere University have developed a non-electric touchpad that can sense force, area, and location of contact without electricity. The device is made of soft silicone and contains 32 channels, enabling precise detection of handwritten letters and multiple simultaneous touches.
A new artificial 'nose' inspired by the human sense of smell can detect undiagnosed diseases, hazardous gases, and food spoilage using existing antenna technology. The sensor distinguishes between different gases with an accuracy of 96.7%, surpassing previous electronic noses in some areas.
Researchers at the University of Chicago have developed a new way to measure the behavior of single electron defects in diamond, which can destroy quantum state memory. By studying the defects' spin and charge dynamics, scientists hope to create even better quantum sensors with long coherence times.
Researchers at Pusan National University developed a fast-responding colorimetric sensor with an expanded color gamut, capable of detecting humidity and other environmental changes in real-time. The sensor outperforms previous designs with a wide color representation and rapid responsiveness.
Researchers developed a system to continuously monitor factory workers for signs of physical fatigue, using wearable sensors and machine learning. The system uses data from heart rate, skin temperature, and locomotor patterns to predict fatigue levels in real-time, with universal trends identified across individual variations.
UCF researchers have developed a unique 'barcode' technique to quickly identify chiral molecules based on their infrared fingerprints. This technology has the potential to speed up pharmaceutical and medical advancements by identifying enantiomers, which can have different effects in the body or chemical reactions.
Researchers developed a soft robotic finger that can perform routine doctor office examinations, including taking patient pulses and checking for abnormal lumps. The device's advanced sense of touch allows it to detect stiffness similar to human fingers, enabling early disease detection and more efficient medical exams.
The researchers combined an NV diamond with a laser diode in an optical resonator, successfully demonstrating the sensor system with two active media. This breakthrough enables high-contrast sensors to measure biomagnetic signals from the brain or heart with improved sensitivity and dynamic range.
Researchers developed a wearable sensor using single-atom materials to detect uric acid, a biomarker for various health conditions. The sensor offers improved sensitivity and selectivity compared to conventional nanomaterials.
The University of Virginia has been awarded an $8 million grant to develop compact, chip-scale photonic systems that enhance the sensitivity of optical detectors. These advancements have the potential to transform fields like night vision technology and biomedical imaging.
Virginia Tech researchers publish real-time data to better understand what happens when people lose their balance. The study uses wrist-worn voice recorders to capture immediate, self-reported data from participants, providing a more reliable understanding of the circumstances surrounding balance loss among older adults.
Plant biologists have mapped two paths that plants implement during elevated heat conditions to minimize heat damage. Carbon dioxide sensors play a central role in the stomatal warming-cooling responses, while a second heat response pathway bypasses normal photosynthesis-driven responses, leading to increased water use efficiency.
The National Science Foundation has awarded Wavelogix a two-year, $999,910 Small Business Innovation Research (SBIR) Phase II grant. The funding will help the company develop a complete solution for scaling up production of its REBEL concrete strength sensors, enabling faster and data-driven decisions in construction engineering.
Researchers have developed a low-coherence Brillouin optical correlation-domain reflectometry system that overcomes spatial resolution and measurement range trade-offs. The new method uses periodic pseudo-random modulation, achieving accurate distributed strain measurements without a variable delay line.
Researchers developed a low-cost means of measuring indoor air quality, pinpointing sources and factors affecting PM concentrations. Air pollution levels remained within World Health Organisation guidelines during school hours, with dominant outdoor sources.
Researchers at Cranfield University have developed an innovative method for identifying biomarkers in wastewater using origami-paper sensors, enabling early detection of infectious diseases. The new test device is portable, fast, and cost-effective, making it a game-changer for public health measures.
Researchers found that migrating blackbirds do not save energy in warmer climates, but instead reduce their metabolism before departure. The study reveals a previously unknown mechanism used by migrants to save energy prior to migration, and suggests alternative physiological adaptations may offset the energy costs of migration.
A University of Houston team developed non-invasive, comfortable, and safe wearable sensors to monitor eyeball movements, providing early warning signs of brain-related disorders. The new sensors have potential applications in diagnosing conditions like ADHD, autism, Alzheimer's disease, Parkinson's disease, and traumatic brain injuries.
Researchers from Zhejiang University have developed a hybrid laser direct writing technique that enables the creation of functional copper interconnects and carbon-based sensors within a single integrated system. The process allows for real-time temperature monitoring over extended periods, ensuring optimal performance and reliability.
Researchers at the University of Bath have developed sensors that track physical changes experienced by exercisers while using VR headsets, allowing game designers to create immersive programs that adapt to a person's abilities and mood. This technology aims to increase user engagement and adherence to exercise.
Researchers at Rockefeller University identified CDCA7 as a new genetic sensor for DNA methylation, resolving the molecular function of a gene associated with a rare genetic disorder. The discovery explains how CDCA7 ensures accurate inheritance of DNA methylation and fills a major gap in epigenetics.
A new type of sensor leverages exceptional points to achieve high sensitivity and reconfigurability. The novel design addresses limitations of traditional EP-based sensors by incorporating spoof localized surface plasmon resonators, allowing for dynamic reconfiguration of EP states across a wide frequency range.
Brooke Flammang's Fluid Loco Lab at NJIT will develop non-invasive tag attachment technology for near real-time tracking of North Atlantic right whales. The project aims to improve conservation and regulation policy decisions with accurate predictions on whale distribution and habitat use.
Researchers at the University of South Australia have developed an AI sensor that can accurately measure the orientation of the Milky Way in low light, using a technique inspired by the dung beetle. This system could improve navigation for drones and satellites in difficult lighting conditions.
Scientists created a wearable sensor that can monitor cholesterol and lactate levels on dry skin, enabling early disease detection. The sensor overcomes existing challenges of traditional methods, promising new opportunities for remote patient monitoring and population-wide health screening.
The new battery can capture oxygen from air and use it to oxidize zinc, creating a current of up to 1 volt. It powers an actuator, memristor, clock circuit, and sensors, making it ideal for robotics and medical applications.
Researchers have developed an implantable device that can independently detect opioid overdose and automatically administer naloxone, with promising results in animal trials. The device, called iSOS, uses multiple sensors to continuously monitor vital signs and rapidly release naloxone when needed.
Researchers at MIT and Brigham and Women's Hospital have developed an implantable device that monitors vital signs and releases naloxone to reverse opioid overdoses. The device has shown success in reversing overdoses in animals, with a 96% recovery rate.
Researchers developed an air-powered computer that sets off alarms when certain medical devices fail, preventing blood clots and strokes. The device uses air to issue warnings, reducing costs and improving safety in healthcare settings.
Researchers at North Carolina State University have demonstrated a technique for creating strain sensors that can function both in air and underwater. The sensors, called 'amphibious,' enable applications such as wildlife monitoring and biomedical research.
This innovative system combines remote health monitoring and drug delivery using 3D-printed hollow microneedles, advancing personalized medicine. The integrated theranostic microneedle array measures key health indicators like pH, glucose, and lactate levels, while enabling rapid, pumpless, and point-of-care drug administration.
Researchers developed a new 2D quantum sensing chip using hexagonal boron nitride that can simultaneously detect temperature anomalies and magnetic fields in any direction. The chip is significantly thinner than current quantum technology for magnetometry, enabling cheaper and more versatile sensors.
A new national standard approved by AASHTO COMP uses Purdue-developed sensor technology to provide real-time data on concrete strength, potentially saving states and contractors time and money. The method aims to reduce uncertainty in determining when concrete pavement is strong enough to handle heavy truck traffic.
A protocol has been designed to harness the power of quantum sensors, allowing for fine-tuning of quantum systems to sense signals of interest. The framework uses a combination of qubits and bosonic oscillators to create sensors that are vastly more sensitive than traditional sensors.
Researchers at Binghamton University have developed self-powered aquatic robots that can skim across water and detect environmental data. The devices use ocean bacteria to generate power, with an average output of 1 milliwatt, enough for mechanical movement and sensor tracking.
Researchers at UMBC have created a new material for storing energy in devices, outperforming traditional lithium-ion batteries. The material uses twisted single-walled carbon nanotubes to store up to three times more energy per unit mass than advanced batteries.
Researchers at UCLA have developed a wavelength-multiplexed diffractive optical processor that enables all-optical multiplane quantitative phase imaging. This approach allows for rapid and efficient imaging of specimens across multiple axial planes without the need for digital phase recovery algorithms.
A groundbreaking quantum sensor capable of detecting minute magnetic fields has been developed through international scientific collaboration. The sensor utilizes a single molecule to sense electric and magnetic properties of atoms, offering spatial resolution on the order of a tenth of an angstrom.