Articles tagged with Sensors
Researchers from the University of Copenhagen and NASA have developed a method to map several billion trees and their carbon uptake in Africa's Sahel region. The method can help monitor whether climate credit purchases have a positive effect on tree numbers and nature restoration.
Researchers at MIT have proposed a new approach to making qubits and controlling them using beams of light from two lasers of slightly different colors. This method enables the direct manipulation of nuclear spin, allowing for precise identification and mapping of isotopes, as well as improved coherence times for quantum memory.
A MIT experiment equipped second-hand bicycles with mobile trackers to track their whereabouts over time, revealing that most stolen bikes remain in the local area. The majority of bikes were resold and re-used within the city's bike fleet.
A team of researchers from DGIST and Hanyang University have developed a triboelectric generator using graphene electrodes and PVC-gel, which generates constant output despite physical movement. The sensor's biostability was confirmed, making it suitable for daily use.
A new technique maps the effects of fire-induced permafrost thaw in Alaska, revealing widespread topographic change and vegetation shifts. The study used a machine learning-based approach to quantify thaw settlement across 3 million acres of land, with results showing a significant loss of evergreen forest and shrubland encroachment.
A team of scientists has created an implantable microsensor that can measure serotonin levels in the brain in real-time without deactivation. This breakthrough could improve diagnosis and treatment of mental illnesses. The sensor uses galvanic redox potentiometry to detect serotonin concentrations over a broad range.
Engineers at MIT and Caltech have developed an ingestible sensor that can track its location as it moves through the digestive tract, revealing where slowdowns in digestion may occur. The sensor uses a magnetic field produced by an electromagnetic coil outside the body to calculate its position.
Researchers at KAUST have developed a rapid and sensitive soil moisture sensor using metal-organic frameworks (MOFs) to optimize water usage in agriculture. The MOF-based sensor shows high sensitivity and selectivity for water even in the presence of metal ions, enabling precise irrigation management.
A team of researchers developed a model-free approach using deep reinforcement learning to optimize estimation of multiple parameters in quantum sensors. The protocol achieved significantly better estimations compared to nonadaptive strategies, demonstrating enhanced performance in resource-limited regimes.
Researchers at Tokyo Metropolitan University have developed a new calibration algorithm for HumTouch technology, which converts AC hum noise into touch location data. The algorithm improves accuracy and speeds up calibration, enabling nearly any surface to be turned into a touch sensor with high precision.
Researchers developed a new, low-cost sensor that can detect humidity changes in various settings, including daycares, hospitals, and at home. The sensor uses a simple pencil-and-paper design and has been integrated into smart diapers and wearable respiratory monitors.
A new smartphone application called FAST.AI uses machine learning algorithms to recognize facial asymmetry, arm weakness, and speech changes in people experiencing a stroke. The app's accuracy was validated through a study involving nearly 270 patients with acute stroke, showing promise as a tool for prompt individuals to seek care.
Researchers from TIBI have developed an advanced electronic skin patch that provides simultaneous, continuous monitoring of multiple bodily parameters. The new E-skin patch offers enhanced flexibility, thermal cooling abilities, and fluid absorption over conventional substrates while demonstrating excellent biocompatibility and biodegr...
Researchers at Drexel University have developed a wearable textile supercapacitor patch that can charge in minutes and power programmable electronics for almost two hours using MXene material. The innovative design enables seamless integration of technology into fabric, paving the way for health care technology applications.
Researchers from Utah State University have developed a new LiDAR system that improves the response time of commercial vehicles and detects movement without flaws. The technology can differentiate between stagnant and moving objects, see in the dark, and recognize potential collisions in real-time.
Debashis Chanda, a UCF professor, received the Samsung award to design an infrared camera inspired by a viper's eye. The tech aims to detect weak infrared photons in low-light conditions with minimal power consumption. Funding from Samsung will support integration into consumer electronics products.
Researchers developed BrightEyes-TTM, an open-source stopwatch to study molecular interactions inside living cells. The platform records the lifetime of fluorescent molecules, providing insights into cellular structure and function.
Researchers created a system to monitor underground gas pipelines using high-tech sensors that can detect weaknesses, discrepancies, and diversion in residential natural gas lines. The method uses ultrasonic sensors to transmit signals through the pipe, limiting the likelihood of gas diversions and ensuring public safety.
A new DNA biosensor developed by NIST, Brown University, and the French government-funded research institute CEA-Leti boasts accurate and inexpensive design. The modular device can measure biomarkers in a scalable and high-sensitivity manner.
Researchers at the University of São Paulo developed a portable, flexible copper sensor that can detect heavy metals like lead and cadmium in sweat. The device is made from ordinary materials and is simple to produce, making it accessible for non-specialists and technicians.
University of Illinois scientists developed a way to accurately map tilled land in real-time using ground, airborne, and satellite imagery. The method increased mapping accuracy by 67% compared to upscaling directly from the ground to the satellite.
The MEDA instrument aboard the Perseverance rover has provided high-precision meteorological measurements of Mars' atmosphere, revealing seasonal and daily cycles as well as dynamic phenomena like dust devils. The analysis sheds light on the Martian climate and its potential for supporting life.
Researchers developed a cellphone-based colorimetric multi-channel sensor for simultaneous detection of various environmental contaminants. The compact sensor achieved high sensitivity, specificity, and reliability, with improved sensitivity by over six folds compared to direct photography.
Researchers have designed an algorithm based on insect neural circuitry to create a power-saving collision detector that can detect vehicles in real-life nighttime scenarios. The novel detector uses atomically thin and light-sensitive memtransistors, resulting in significant energy savings compared to existing systems.
Swansea University scientists developed a smart patch that can detect proinflammatory biomarkers of neurodegenerative diseases, including Alzheimer's, using microneedle technology. The patches can be self-administered for point-of-care diagnosis and have the potential to change the landscape of early disease detection.
Researchers at Tufts University develop biopolymer-based sensors that can detect bacteria, toxins, and chemicals in the environment. The sensors glow when dangers are present and can be printed on a wide range of materials, including wearable items and food jars.
The article discusses the development of the metaverse through digital twins, emphasizing their focus on simulating real-world processes and entities. Digital twins are virtual replicas that synchronize data between the physical and virtual worlds, while the metaverse focuses on human interaction and connection.
Researchers developed a self-powered nanowire sensor that can detect nitrogen dioxide in the air without power source. The sensor has potential applications in environmental monitoring, healthcare, and industrial safety.
Chung-Ang University researchers identify direct electron tunnelling as dominant mechanism of noise in organic photodetectors, enabling enhanced detection speed and improved image sensor performance. The discovery paves the way for miniaturized image sensors with curved designs and omnidirectional sensing capabilities.
Researchers at North Carolina State University have developed a highly sensitive and stretchable strain sensor that can detect minor changes in strain with great range of motion. The sensor's innovative design features a patterned cut network that enables it to withstand significant deformation without sacrificing sensitivity.
A new form of thin-film device technology using alternative semiconductor materials could contribute to a more sustainable IoT. Wireless power harvesting from the environment using photovoltaic cells and RF energy harvesters is being explored.
Researchers developed a transparent temperature sensor that can measure rapid temperature changes in less than a few milliseconds. The sensor uses the thermoelectric effect and achieves high transparency, making it suitable for various photothermal bioengineering and medical applications.
Researchers at MIT developed a new sensor that converts light into a magnetic signal detectable by MRI, allowing for the mapping of light distribution in tissue. This breakthrough has implications for optogenetic experiments and monitoring patients receiving light-based therapies for cancer treatment.
Researchers created a magneto-impedance sensor magnetometer that measures Earth's geomagnetic field fluctuations, enabling real-time monitoring of space weather and advancement of space research. The device is lightweight, power-efficient, and low-cost, making it suitable for constructing multi-point observation networks.
Researchers from Osaka University developed a new fluorescent sensor system to visualize N-cadherin-mediated interactions between living cells. The INCIDER system enables accurate tracking of temporal changes in these interactions, with a fluorescence signal 70 times stronger than existing methods.
The device converts pressure into structural colors, imaging gaseous properties. It has applications in environmental monitoring and healthcare.
Researchers at DGIST developed a bio-friendly self-powered sensor technology that can accurately analyze exercise posture. The technology uses piezoelectric energy harvesting materials, which convert body movements into electric energy, without harming the human body.
Researchers from Florida Atlantic University have developed a prototype of a novel wearable device that can continuously monitor physiological parameters associated with heart failure in real-time. The device uses sensors embedded in a lightweight belt to track thoracic impedance, electrocardiogram, heart rate, and motion activity, pro...
Researchers at Incheon National University have developed an IoT-enabled, real-time object detection system for autonomous vehicles. The YOLOv3-based model achieved high accuracy (>96%) in detecting 2D and 3D objects, outperforming other state-of-the-art detection models.
Researchers developed a simple and accurate method for markerless gait analysis, combining RGB camera-based pose estimation with IMU sensor data. The new technique outperformed existing methods in measuring gait parameters and joint angles, showing significant promise for clinical settings and diverse applications.
Researchers create a soft robot that can detect damage and heal itself using stretchable fiber-optic sensors and polyurethane urea elastomer. The SHeaLDS technology provides a damage-resistant robot that can self-heal from cuts, and the researchers plan to integrate it with machine learning algorithms for more tasks.
Researchers found particulate air pollution concentrations between 10 to 20 times higher inside the Copenhagen Metro system compared to street level. The concentrations measured at stations were 109-168 µg m−3, exceeding EU's 25 µg m−3 standard.
The use of smartwatches to screen for faulty heart rhythms needs more evaluation, according to a cardiologist. Smartwatch detection of AF can often point to cases of the disorder, but substantial work is needed to integrate this consumer-received information into optimized care. Recent studies have reported low rates of irregular heart...
Researchers at UT Austin developed a graphene-based e-tattoo that tracks electrodermal activity on the palm, enabling unobstructive ambulatory sensing. This technology reduces social stigma and provides accurate readings, addressing limitations of current bulky devices.
UC San Diego researchers have developed a self-powered ingestible biosensing system that provides continuous monitoring of gut metabolites, unlocking new understanding of intestinal health and its impact on human health. The battery-free sensor is powered by glucose and can measure glucose levels in the small intestine for up to 14 hours.
Researchers have developed a flexible temperature sensor with high sensitivity, measuring from liquid nitrogen temperatures to 1200℃. The sensor overcomes existing limitations and shows promise for applications in aerospace, steel metallurgy, and more.
Researchers at Chalmers University have developed an optical hydrogen sensor that can detect extremely low levels of hydrogen, allowing for early detection and alarm. The sensor uses AI technology to optimize particle arrangement and geometry, achieving sensitivity in the parts per billion range.
Researchers created a stretchable film that can distinguish between different types of sugar using fluorescent signals. The film changes color when stretched, producing a kaleidoscope effect and enhancing the unique shifts in fluorescence intensity of sugars tagged with a dye.
Engineers at Tokyo Tech demonstrated a simple approach to improve AI classifier training using limited sensor data, increasing quality without extra cost. The proposed method promises to address the challenge of classification accuracy in real-world applications, where reliable answers are crucial.
Researchers used wearable activity trackers to derive health metrics, including heart rate distribution and walking frequency, that correlated with clinically measured parameters. These findings suggest that activity-tracker data can identify surrogate markers of disease severity, enabling remote monitoring and potential personalized t...
Researchers have developed a new miniature robot called Joey that can explore real pipe networks completely on its own, weighing just 70g. The robots are small enough to fit in the palm of your hand and are equipped with energy-efficient sensors to navigate through narrow sections and obstacles.
A new AI-based chemical sensor can accurately detect specific gases in the air by analyzing temperature changes in a microbeam resonator. The device uses machine learning to differentiate between gases with varying thermal conductivities, achieving 100% accuracy in identifying helium, argon, and CO2.
A novel framework for building a low-cost, monocular visual-tactile sensor is presented for robotic manipulation tasks. The proposed design uses a marker-based approach to detect contact locations and estimates the location of contacts using ARUCO markers.
A new study by MIT researchers shows that mobile phones can collect useful structural integrity data while crossing bridges. The study found that information about bridge vibrations can be extracted from smartphone-collected accelerometer data, and that this method could add years to a road bridge's lifespan. By leveraging crowdsourced...
A research team developed a smart mask integrating an ultrathin soundwave sensor that detects breathing, coughing, and speaking sounds. The mask uses machine-learning algorithms to identify respiratory diseases and improve public health by enabling prolonged monitoring.
MIT researchers have developed a magnet-based system to track muscle length during movement, which could improve the accuracy of prosthetic limb control. The system uses small magnets implanted in muscle and measures distances between them using a credit-card-sized sensor.
Researchers have developed a novel method for antibiotic resistance testing that can analyze bacterial cells in real-time, allowing for faster identification of susceptible and resistant bacteria. This breakthrough technology has the potential to transform microbial screening in clinical and research labs.
The researchers developed a conformable multimodal sensor face mask (cMaSK) with 17 sensors around the edge of the mask that measure capacitance, temperature, humidity, air pressure, and other parameters. The study found that mask fit was significantly worse for women than men due to gender-related differences in face shape and size.
Researchers at the University of Luxembourg created colour-changing CLCE fibres that can be easily sewn into fabric, shifting colours continuously from red to blue upon stretching, and remain colourful even after repeated wear and washing.
Kyusang Lee's new sensor system uses artificial intelligence to process different types of signals, mimicking human biology, and can detect viruses. The system meets challenges of data bottlenecks, energy consumption, and data protection, making it a breakthrough in the Internet of Things.