Articles tagged with Sensors
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 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 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 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.
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.
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.
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.
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.
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.
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.
The study tested wearable sensors and associated alerts to guide people's behavior, finding that personalized timing and symptom-based notifications led to higher self-test rates. The researchers also emphasized the importance of designing and clinically implementing new wearable sensors that track various health parameters.
A team of researchers is creating a socially assistive model for a robotic dog that adapts its behavior based on the owner's physiological and emotional characteristics. The project aims to improve interactions between humans and robots in home and healthcare settings.
Researchers at TU Delft developed an insect-inspired navigation strategy for tiny, lightweight robots, allowing them to return home after long trajectories while requiring minimal computation and memory. The strategy combines visual breadcrumbs and step counting to enable autonomous navigation in cluttered environments.
Scientists from HZDR, TU Chemnitz, TU Dresden, and Forschungszentrum Jülich have demonstrated the storage of entire bit sequences in cylindrical domains. The team's findings could lead to novel types of data storage and sensors, including magnetic variants of neural networks.
Researchers created tiny force sensors directly in chicken embryos to study spinal cord malformations. The study aims to prevent congenital malformations by identifying new preventative and therapeutic strategies. Quantifying mechanical forces during embryonic development promises a step change in understanding development.
Researchers used movement sensors to track thoroughbreds' stride patterns and identified miniscule changes associated with increased injury risk. The technology has been shown to prevent catastrophic injuries by alerting trainers and veterinarians to intervene before a major injury occurs, resulting in longer careers for affected horses.
A new system developed by researchers at Binghamton University uses local computing power to analyze sensor data from everyday devices like smartphones and laptops, detecting abnormal movements with high accuracy. The Rapid Response Elderly Safety Monitoring (RESAM) system aims to cut reaction times and improve safety for older adults,...
Researchers have developed a novel method to significantly enhance quantum technology performance by leveraging cross-correlation of two noise sources. This approach extends coherence time, improves control fidelity, and increases sensitivity for high-frequency sensing.
The NTU team created a compact and flexible light-based sensing device, like a plaster, to provide highly accurate biomarker readings within minutes. The device detects glucose, lactate, and urea levels in sweat with ultra-high sensitivity and dynamic range.
A new partnership has developed a functional safety sensing platform based on 3D ultrasound, providing an additional layer of safety and reliability for autonomous vehicles. The technology complements existing systems and enables vehicles to detect their surroundings in real-time, even in extreme conditions.
Researchers developed a one-dimensional convolutional neural network (1D CNN) to compensate for errors due to sample location variations. The model achieved high accuracy, reducing mean absolute error to 0.695% and mean squared error to 0.876%.
A randomized controlled trial found that four weeks of outdoor gait training, combined with home exercises, improved running biomechanics and reduced the time feet were in contact with the ground. This technique may help patients improve their stride and reduce pain associated with shin splints.
The University of Maryland team created a camera mechanism that mimics the involuntary movements of the human eye, resulting in sharper and more accurate images. The Artificial Microsaccade-Enhanced Event Camera (AMI-EV) has implications for robotics, national defense, and industries relying on accurate image capture.
Researchers are working on improving the quality of high frequency wireless networks. Dr. Murat Yuksel is hoping to realize the dream of unimpeded communication at distances near and far. He is developing a smart wireless network system using machine learning, which can fine-tune the networks' efficacy.
Physicists have achieved a record-setting level of electron mobility in a thin film of ternary tetradymite, a class of mineral found in gold and quartz deposits. The material's high electron mobility makes it suitable for efficient thermoelectric devices that convert waste heat into electricity.
Scientists at IOCB Prague have developed two new types of catalytic DNA molecules that can reveal target molecule presence through fluorescence or color. The research uses directed evolution to discover novel fluorescent and colorimetric deoxyribozymes, with potential applications in diagnostic tests.
A study found that a cuffless wrist monitor provides hundreds of readings in days, enabling clinicians to determine cardiovascular risk and improve hypertension care. The device's continuous readings help confirm diagnosis and guide medication titration, potentially revolutionizing hypertension management.
Researchers from Florida Atlantic University developed a novel approach using wearable sensors and machine learning to assess balance. The method achieved high accuracy and strong correlation with ground truth balance scores, suggesting it is effective and reliable in estimating balance.
Researchers developed a new method for detecting foodborne pathogens using a 3D-printed microfluidic chip, which can rapidly test for multiple pathogens simultaneously. The chip uses light to detect pathogens and has been shown to be effective in detecting common bacteria such as E. coli and salmonella at very low concentrations.