Articles tagged with Sensors
Researchers from the University of Birmingham have successfully used a quantum gravity gradiometer to detect an object hidden below ground, marking a significant milestone in the development of this technology. The breakthrough could lead to faster, cheaper, and more comprehensive underground mapping, with potential applications in ind...
Researchers have developed a novel magnetometer that achieves an unprecedented level of sensitivity, detecting tiny magnetic fields that were previously undetectable. The breakthrough uses a single-domain Bose-Einstein condensate made of rubidium atoms at ultracold temperatures.
A new method quantifies sensor network quality, suggesting improvements to existing experiments including the search for Dark Matter and vector field measurements.
A new study found that Hong Kong's remote sensing enforcement program significantly reduced harmful chemicals at the roadside and in the atmosphere. The program led to a 22-39% reduction in total hydrocarbons, carbon monoxide, and nitric oxide emissions from high-emitting vehicles.
Researchers have developed a rapid and accurate breathalyzer test that can diagnose COVID-19 in under 5 minutes, identifying asymptomatic carriers. The handheld device uses surface-enhanced Raman scattering sensors to detect volatile organic compounds exhaled by infected individuals.
Researchers developed a software-based smoke dispersal simulation model to study prehistoric archaeology. They found that early humans placed their hearth at the optimal location in the cave, enabling maximum utilization of fire while minimizing smoke exposure. The study identified a 25sqm area as ideal for locating the hearth.
Researchers measured oxygen transport in deep ocean currents, finding that half of atmospheric oxygen is injected into boundary current over 5 months. The findings have implications for climate models and the impact of Arctic changes on the Labrador Sea's 'breathing' process.
Researchers from Penn State's Department of Biobehavioral Health developed wearable sensors that can detect alcohol concentration in sweat, providing a more nuanced understanding of intoxication. The study shows that wearable technology can predict the negative consequences of drinking and help prevent alcohol-related harm.
A team of researchers has created a prototype 'smart saddle' that utilizes self-powered triboelectric nanogenerators to analyze equestrian biomechanics. The device can detect subtle cues from the rider's posture, seat, and legs, as well as alert others in case of a fall.
Researchers have developed an ultrasensitive bioelectronic tongue that mimics human taste buds to measure sweetness. The device responds to sweet-tasting compounds at the 0.1 femtomolar level, making it a powerful tool for industries such as healthcare and food.
A team of NTU Singapore scientists has developed a predictive computer programme using wearable technology data to detect depression risk. The programme, Ycogni model, achieves an accuracy of 80% in detecting individuals at high or low risk of depression.
Researchers at Technical University of Munich have developed a new neutron-based method to detect clogs in underwater pipelines non-destructively. This approach uses prompt gamma neutron activation analysis to measure hydrogen concentration, allowing for the detection of blockages and hydrate formation.
Researchers at MIT have developed an all-in-one approach to diabetes treatment, streamlining the process of blood glucose measurement and insulin injection. The new device can automate procedures such as pricking skin, collecting blood, calculating glucose levels, and dispensing insulin, reducing the need for multiple devices and makin...
The new sensor grids offer 100 times higher resolution than existing technology, allowing for more precise identification of seizure origins and preservation of healthy brain tissue. Longer term, the technology holds potential for permanent implantation to improve life quality for people with paralysis or neurodegenerative diseases.
Researchers created a humidity sensor mimicking camel noses to detect moisture levels in industrial exhaust and human skin. The device responds to changes in skin perspiration and can even follow the path of a finger, suggesting a potential basis for touchless interfaces.
Researchers have created a new, simpler way to fabricate SERS nanostructures with superior stability and performance at low cost. By using a heat-resistant polymer called polyimide (PI), they can produce nanosurfaces with nanopillars that enhance signal intensity for efficient chemical detection. The new fabrication method has the pote...
Researchers developed a passive air sampler clip to estimate airborne virus concentrations, detecting SARS-CoV-2 in five out of 62 volunteers. The device could serve as a semiquantitative screening tool for assessing personal exposure and identifying high-risk areas.
A team of scientists at the University of Missouri used small wearable sensors to gather data on how people with a traumatic hand amputation use a prosthesis versus a transplanted hand. The study found that hand transplant recipients exhibit a more balanced pattern of limb use, while prosthesis users rely heavily on their prosthetic hand.
Researchers have developed a custom finger clip device that measures blood pressure and other vital signs like heart rate, oxygen saturation, body temperature, and respiratory rate. The device uses photoplethysmography sensors and achieves an accuracy rate of about 90% for systolic blood pressure.
Researchers at Japan Advanced Institute of Science and Technology developed a graphene sensor that detects electric fields with improved efficiency and reduced size. The mechanism involves the transfer of charges between graphene and traps, allowing for the detection of field polarity and magnitude.
A team of researchers from Chemnitz University of Technology, IFW Dresden, and Max Planck Institute CBG presents a new type of biomedical tool with a tiny biocompatible microelectronic micro-catheter. The catheter has sensor and actuator functions integrated into its wall, making it highly flexible and adaptable to the body.
A novel quantum-based sensor has been developed to detect the SARS-CoV-2 virus with high accuracy and speed. The sensor uses nitrogen vacancy centers in diamond to detect minute perturbations in the presence of viral RNA, enabling fast and reliable detection.
A robot has been developed to assist elderly users with daily actions like standing up, walking, and sitting down. The robot estimates the user's state using a small number of sensors, including calculating center of gravity candidates, to provide necessary assistance and prevent accidents.
Researchers at NTU Singapore have developed biodegradable zinc batteries made of cellulose paper that can power flexible electronics and biomedical sensors. The batteries are non-toxic, do not require aluminum or plastic casings, and can be buried in soil to break down within weeks.
Mona Jarrahi, a UCLA professor, has been awarded the IET A F Harvey Engineering Research Prize for her pioneering work in utilizing the electromagnetic spectrum. Her research aims to develop a hybrid methodology for designing systems with operation frequencies beyond traditional transistor technologies.
A new smartwatch sensor uses machine learning to detect opioid cravings and provide personalized interventions, showing 80% accuracy in real-time monitoring. The technology has the potential to prevent relapse, overdose, and dependency.
A new battery-free wearable device detects nicotine in real-time and sends data wirelessly to smartphones, allowing users to measure their exposure to vaporized nicotine. The device uses a thin film of vanadium dioxide to detect conductivity changes caused by nicotine concentration.
Researchers have developed heat-resistant piezoelectric sheet sensors that can detect driver impairment, including drowsiness and sudden illnesses. These sensors, attached to seats, can signal a future smart car to take action, potentially preventing accidents.
Researchers propose a method using optical cavities to enhance atom interferometers, enabling extreme momentum transfer for detecting dark matter and gravitational waves. This could facilitate breakthroughs in fundamental physics and future applications.
Researchers at City University of Hong Kong have discovered a new type of sound wave that vibrates transversely and carries both spin and orbital angular momentum like light. This finding provides new degrees of freedom for sound manipulations, enabling unprecedented acoustic communications and sensing capabilities.
Researchers at the University of Cambridge have developed a new concept for detecting infrared light by converting it into visible light, easily detectable by modern cameras. This innovation enables the detection of mid-infrared light using molecular frequency upconversion with dual-wavelength hybrid nanoantennas.
A new COVID-19 mobile robot detects social distancing breaches in crowds and encourages people to move apart using a novel system that employs Deep Reinforcement Learning and Frozone algorithm. The robot also incorporates a thermal camera for contact-tracing efforts, ensuring privacy protection and de-identification.
Researchers from Kaunas University of Technology have developed an AI-based approach for contactless machine failure detection, using sound data from existing equipment. The solution is sustainable and relatively cheap, with no need for new sensors or equipment installation.
Researchers in Japan have designed the first de novo-designed peptides that can form artificial nanopores to identify and enable single molecule-sorting of genetic material in a lipid membrane. The peptides can detect specific molecules, including DNA, and have the potential to mimic natural proteins' ability to detect specific proteins.
A new snow tracking sensor using infrared radiation technology will track daily snow depth, making it easier to predict and prevent winter-related hazards. The device will measure snow density by strata, providing more accurate data for avalanche forecasting and flood risk assessment.
Researchers at the University of Rochester have developed a way to amplify interferometric signals without increasing extraneous input on an integrated photonic chip. This breakthrough enables high-precision measurements in various applications, including quantum gyroscopes.
Scientists at Tokyo Institute of Technology developed a new peptide sensor to detect and quantify water-soluble synthetic polymers in wastewater. The technique uses machine learning algorithm to identify and discriminate between different polymers.
Researchers at Rice University are creating a 3D-printed smart helmet with embedded sensors to protect soldiers' brains against kinetic or directed-energy effects. The program aims to modernize standard-issue military helmets by incorporating advances in materials, image processing, artificial intelligence, and energy storage.
Researchers at St. Petersburg State University develop a new method for synthesizing nanoparticles from metal-organic frameworks, enabling detection of heavy metal ions in water with significantly lower limits of detection. The synthesized particles can also be used as luminescent sensors to detect Cu2+, Cr3+, and Fe3+ ions.
Researchers at Skoltech propose a method for interpreting brain activity data that is up to five times more accurate than the conventional technique. This method can help treat drug-resistant epilepsy and understand cognitive processes in the healthy brain.
A new rapid screening test for glaucoma uses infra-red sensors to monitor eye movement, providing accurate results within seconds. The test could help advance early detection of the disease, a leading cause of irreversible blindness, and make it more accessible for national screening programs.
A new 'smart bandage' has been developed to track wound moisture levels wirelessly, enabling doctors to monitor wounds without removing the bandage. The technology could help improve wound healing rates by detecting optimal moisture levels, reducing the risk of disruption to the healing process.
Scientists at the University of Groningen developed wearable, stitchable, and sensitive sensors from flexible polymers and carbon fibre. These sensors can measure body position, movement, and touch, offering new possibilities for health monitoring and athlete performance tracking.
Scientists found that amorphous carbon coatings used to protect optical fibers from moisture can break down due to interaction with water molecules. The coating's thickness increases, leading to an irreversible increase in electrical resistance and a decrease in transparency.
Researchers at the University of Arizona have created custom-fitted wearable devices that can monitor physiological parameters without needing recharging. The biosymbiotic devices use wireless power transfer and compact energy storage to enable continuous operation, providing accurate data on body temperature, strain, and muscle deform...
The Quantum Sensors project aims to create ultrasensitive gyroscopes and accelerometers using quantum states, enabling precise measurements for self-driving cars and spacecraft. This technology could capture information not provided by GPS, improving navigation and stability in various environments.
Researchers developed a wearable, biocompatible, and low-cost biosensor that measures electromyography signals in muscles. The sensor uses a gold-silver nanocomposite printed onto fabric, providing a comfortable and effective way to track muscle activity.
SUTD researchers develop sensor that assigns dirt score to areas based on visual and tactile analysis, allowing for more efficient exploration of complex spaces. The sensor is integrated with a smart algorithm that directs the robot to focus on areas with high dirt probability.
A novel fiber-tip-polymer clamped-beam probe micro-force sensor was developed using femtosecond-laser-induced two-photon polymerization technique. The sensor exhibited an ultrahigh force sensitivity of 1.51 nm/μN and a detection limit of 54.9 nN, opening avenues for high-precision biomedical and material science examination.
A new DNA sensor can detect both the presence and infectivity of viruses in minutes, providing a significant improvement over current methods that only detect genetic material. This breakthrough could aid in tracking and containing viral outbreaks, as well as understanding mechanisms of infection.
Scientists have developed a technique to enhance digital sensor capabilities beyond current limits, enabling applications in consumer photography, medical imaging, and space exploration. The new approach uses 'modulo' sampling to process a wider range of information, unlocking high dynamic range for sensors.
Scientists from Trinity College Dublin have developed tiny, color-changing gas sensors using new materials and 3D printing techniques. These sensors can detect solvent vapors in air and have potential applications in wearable devices for health monitoring and low-cost environmental monitoring systems.
Researchers from the University of Cambridge have created a real-time approach to predict drone flight paths and intentions, enabling safer use of drones. The solution uses statistical techniques and radar data to identify potential threats before they enter restricted airspace.
Dartmouth has received a $3 million NSF grant to increase its PhD Innovation Programs by 50% and develop new multidisciplinary pathways for STEM graduate students focused on entrepreneurship and research translation. The funding will support 19 additional graduate students and enhance the development of sensor technology applications.
The Center for Research on Programmable Plant Systems (CROPPS) aims to create systems that enable plants to communicate their hidden biology to sensors, optimizing growth and the local environment. This will lead to breakthrough discoveries, new educational opportunities, and transformative management of crops.
A newly improved robotic cane, funded by NIH/National Eye Institute, uses a color 3D camera, inertial measurement sensor, and onboard computer to guide users to desired locations while avoiding obstacles. The device can provide accurate navigation assistance in large spaces with sensory and auditory cues.
A new electronic 'nose' has been developed to detect when a lung transplant is beginning to fail, with 86% accuracy. The device uses machine learning algorithms to analyze exhaled breath patterns and identify lung diseases, offering new hope for patients diagnosed with chronic allograft dysfunction.
A team of researchers from the University of Science and Technology of China developed a super-elastic porous carbon material called 'carbon spring' with both high compressibility and stretchability. This unique microstructure enables reversible tensile and compressive deformation, similar to a real metallic spring.
Researchers at Penn State developed a luminescent sensor that can detect and quantify low concentrations of terbium in complex acidic samples. The sensor uses a protein called lanmodulin, which is selectively binding to rare earth elements, and has the potential to help develop a domestic supply of these metals.
The robotic white cane system combines depth data with a 2D floor plan map to reduce pose estimation errors. It features a novel 'robotic roller tip' interface that allows for automatic mode-switching, making it easier for visually impaired users to navigate.