Articles tagged with Sensors
Researchers at Aalto University developed a new type of infrared photodiode that is 35% more responsive at 1.55 µm than existing germanium-based components. The new device can be manufactured using current production techniques, making it highly practical for adoption in various technologies.
Scientists have studied common noctule bats on their spring migration across Europe, using ultra-light sensors connected 'like cell phones' to track their movements. The study reveals that bats surf storm fronts to conserve energy and migrate further, with some individuals covering over 400 kilometers in a single night.
Researchers have created a new circuit model that accounts for small changes to the sensor's behavior, allowing it to detect protein or DNA molecules from a sample. The device could lead to earlier diagnosis of diseases and more precise therapies tailored to each patient.
Researchers at Institute of Science Tokyo developed a method to detect wind direction using seven strain gauges on a flapping wing and a convolutional neural network model. The system achieved high classification accuracy of 99.5% in detecting wind conditions, opening up new possibilities for improving robotic flight control.
Researchers from Okayama University create nanodiamonds with nitrogen-vacancy centers, exhibiting strong fluorescence and stable spin states for biological applications. The developed nanodiamonds have improved spin quality compared to bulk diamonds, making them suitable for bioimaging and quantum sensing.
Researchers demonstrate how grape pairs can create strong localized magnetic field hotspots of microwaves used in quantum sensing applications. The study could help develop more compact and cost-effective quantum devices.
A research team at Seoul National University developed a hypersensitive, flexible strain sensor that can detect infinitesimal strains as small as 10−5. The sensor, with meta-structured cracks, enables real-time blood flow monitoring for early stroke diagnosis and cerebrovascular disease detection.
A French research team has developed a method to manage animal-vehicle collisions by deploying camera trap networks and leveraging artificial intelligence and ecological modeling. The approach simulates animal movements, identifies collision hotspots, and estimates species abundance, providing a map of collision risk.
Chungnam National University researchers developed a magnetoplasmonic strain sensor that changes color in response to mechanical stress, offering a reliable and user-friendly solution for real-time health and activity tracking. The device is powered-free, versatile, and ideal for use in remote or extreme environments.
A copper-containing, electrically conducting, two-dimensional metal–organic framework has been developed for the highly selective detection of nitric oxide. The material detects NO at room temperature with high sensitivity and selectivity, making it suitable for air quality monitoring and medical applications.
Researchers developed miniature implantable sensors that transmit real-time data on bone healing, showing resistance training can significantly improve femur injuries in rats. The sensors provided detailed ongoing data on the mechanical properties of the bone, allowing for tailored rehabilitation programs.
The study creates ultra-stable thin-film polariton filters with exceptional angular stability, transmitting up to 98% of light, even at extreme viewing angles. This technology has enormous scientific and economic potential for applications in display technology, sensor technologies, biophotonics, and more.
The LabEmbryoCam is a robotic instrument that autonomously monitors embryonic development in aquatic species, providing insights into how environmental conditions impact early life stages. The open-source instrument enables scientists to track key features such as heart rate and growth in large numbers of embryos simultaneously.
A new implantable device, inspired by a tree branch, uses DNA sensors to continuously monitor inflammation biomarkers in the body. The device accurately measures protein biomarkers of inflammation in diabetic rats and has potential applications for managing acute and chronic conditions.
Researchers have developed implantable sensors that track protein levels in real time, enabling continuous monitoring of inflammation at the cellular level. The technology has been successfully tested in diabetic rats, detecting changes in cytokine proteins associated with inflammation.
Ocean scientists will deploy sensors onboard high-tech floats to study tiny turbulent movements that pull water, heat, and chemicals from the surface down into the deep. This ventilation helps regulate the Earth's climate and buffer against human-induced climate change.
Researchers from the University of South Australia have developed a celestial navigation system that uses visual data from stars to provide an alternative means of nighttime navigation in environments where GPS is unavailable or unreliable. The system has been tested on a fixed-wing drone and demonstrated accurate positioning within fo...
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 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 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 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.