Articles tagged with Sensors
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.
The device converts pressure into structural colors, imaging gaseous properties. It has applications in environmental monitoring and healthcare.
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.
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 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 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 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 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.
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.
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 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.
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.
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.
Researchers at IIT developed a self-powered defrosting sensor to detect improper food freezing. The sensor may be used in future applications and has been published in ACS Sensors (doi:10.1021/acssensors.2c01280)
A Washington State University pilot study showed that home sensors can accurately monitor overnight restlessness and sleep problems in people recovering from opioid use disorder. The sensors matched other monitoring methods about 89% of the time, validating patients' concerns about their disturbed sleep.
A WVU biomedical engineer is working on a rapid diagnostic tool that can detect tick-borne infections such as Lyme disease via a blood sample on a single chip. The tool uses dielectrophoresis and machine-learning to detect diseases within one to two weeks after onset, reducing the risk of hospitalization and chronic conditions.
Researchers created a breathable underwater movement sensor by applying a thin, slippery coating to conductive fabric, enabling the detection of swimmers in distress. The smart system wirelessly alerts a smartphone app when a swimmer stops moving, indicating potential drowning.
The UBC Okanagan team has created a novel, passive-de-icing coating that integrates an ice-detecting microwave sensor. This technology enables automatic melting of ice without external energy input, reducing wear-and-tear and energy waste.
Researchers developed a new technique that enables on-device training using less than a quarter of a megabyte of memory, reducing the need for powerful computers and central servers. This approach preserves privacy by keeping data on the device, making deep learning more accessible for low-power edge devices.
A machine learning model developed by Carnegie Mellon University can accurately predict how stay-at-home orders affect people with multiple sclerosis. The model uses passively gathered smartphone and fitness tracker data to identify factors that signal changes in health.
Researchers at University of Auckland developed a non-invasive surface mapping tool to detect gastric slow wave activity, identifying two distinct disease subgroups in chronic nausea and vomiting syndromes. The technology has proven reliable for recording bio-electrical activity on the gut's surface and detecting changes in electromagn...
Researchers developed a novel three-core optical fiber sensor to accurately measure both the magnitude and direction of spine curvature. The sensor offers advantages like low cost, high sensitivity, and small size, making it a promising tool for doctors to diagnose problems in spine curvature.
Imperial College London researchers have developed a new low-cost sensor thread called PECOTEX that can be embedded into clothing to monitor vital signs. The sensors, which cost $0.15 to produce, can track breathing, heart rate, and gases like ammonia, potentially leading to diagnosis and monitoring of disease.
A recent clinical trial published in Circulation found that Fitbit wearable devices can identify patients with undiagnosed atrial fibrillation, a condition that can lead to strokes. The study, led by Massachusetts General Hospital, used a novel algorithm to detect irregular heart rhythms based on Fitbit sensors.
A new wearable device study, DETECT, found that sensor data significantly improves seven-day average predictions for COVID-19 infection by 32.9% in California and 12.2% nationwide. The study tracked physiological changes before symptom onset, providing a valuable tool for predicting viral threats.
Scientists have developed a face mask that can detect common respiratory viruses in the air, alerting wearers via mobile devices within 10 minutes. The mask uses aptamers to identify unique proteins on viral surface proteins, amplifying signals to detect even trace levels of pathogens.
A new wearable device called FAST can measure tumor size changes to the hundredth of a millimeter, providing a fast, accurate, and inexpensive way to test cancer drugs. This technology represents a significant advance in cancer treatment, offering continuous monitoring, flexibility, and non-invasiveness.
Researchers create a new, non-invasive wearable device that can measure tumor size changes in real-time. The 'Flexible Autonomous Sensor measuring Tumors' (FAST) device provides continuous monitoring and accurate results, offering a promising approach to cancer treatment.
The new approach takes advantage of the way defects in diamonds or semiconductors behave like qubits, amplifying the information stored in solid-state defects. This discovery offers a significant improvement in sensitivity for quantum sensors measuring magnetic fields, temperature changes, and molecular structures.
WaveLogix, a tech startup, has received a six-month SBIR Phase I grant from the National Science Foundation to develop its Internet of Things sensing system for infrastructure monitoring. The Rebel brand of concrete strength sensors directly measures real-time, in-place concrete strength without destructive testing.
A NASA initiative studies wildfire-induced air pollution by measuring atmospheric CO and O3 levels using airborne observations. The study found that CO levels increased in the plume as it was transported away from the fire site, while plume age was associated with distance in both vertical and horizontal directions.
Researchers at Tokyo Institute of Technology developed diamond quantum sensors to accurately measure EV battery charge. The sensors can detect small changes in current with 1% accuracy, extending driving range by up to 10%. This breakthrough reduces CO2 emissions and supports carbon neutrality.