Articles tagged with Sensors
Researchers created a lightweight filter that can run on small microcontrollers, identifying and removing likely speech content from audio data before it's sent off the device. This helps balance utility and privacy, enabling devices like smart speakers to prioritize user security while still offering valuable sensing capabilities.
Researchers developed fluorescent polyionic nanoclays that can be customized for medical imaging, sensor technology, and environmental protection. These tiny clay-based materials exhibit high brightness and versatility, enabling precise tuning of optical properties.
A team at HZB developed a method using photo-voltage to detect individual and local spin states of defects in diamonds. This could lead to more compact designs of quantum sensors. The research uses nitrogen vacancy centres, which can be manipulated with microwaves.
Researchers at TU Graz have developed a new method for detecting nanoplastics in transparent body fluids, including urine, tear fluid, and blood plasma. The method uses optofluidic force induction and Raman spectroscopy to determine the size and chemical composition of particles.
Researchers at Linköping University developed a fluid battery that can be integrated into future technology in a completely new way. The soft battery has been tested to have high capacity, recharging over 500 times and maintaining its performance.
Researchers at MIT engineered bacteria to produce unique wavelengths of light that can be detected using hyperspectral cameras. This technology could enable the development of bacterial sensors for agricultural applications, such as monitoring crop health and detecting pollutants.
Researchers at Rutgers University have created a biosensor using RNA molecules that can detect tiny chemicals relevant to human health. The technology has the potential to improve disease detection and environmental monitoring.
SeamFit's innovative use of flexible conductive threads and machine-learning algorithms accurately detects movements and counts reps during various exercises. This wearable technology promotes practicality in exercise tracking, potentially enhancing human-AI interaction by monitoring daily activities.
Researchers developed a first-of-its-kind wearable device that tracks gas emissions from the skin to monitor health, detect wounds and infections, and track hydration levels. The device offers a new way to assess skin health without contacting delicate tissues.
The FLUID robot, developed by Hokkaido University researchers, automates the co-precipitation of cobalt and nickel to create binary materials with precision. The open-source system uses a 3D printer and off-the-shelf electronics, making it customizable and cost-effective for researchers worldwide.
Researchers have developed an on-chip twisted moiré photonic crystal sensor that can simultaneously measure wavelength, polarization, and perform hyperspectral imaging. The device uses MEMS technology to control the twist and distance between layers in real time.
Researchers developed a novel caffeine sensor utilizing zinc-doped tin oxide nanoparticles as an electrocatalyst, demonstrating remarkable sensitivity and selectivity. The sensor successfully analyzed caffeine content in various real water samples, including tap water, groundwater, and canal water.
Researchers at TUM integrate 60 camera pixels into a single detector, achieving unprecedented resolution of up to 3840 MPixels. This technology enables the observation of tiny shifts due to gravity in antihydrogen beams and has broader applications in experiments requiring high position resolution.
The device uses AI technology to detect potential heart problems and provides real-time health insights. It has multiple points touching the skin near the heart, allowing for more accurate tracking even during movement.
PolyU's EmoFriends interactive toy and Transparent Knee Guard wearable device have won the prestigious iF Design Awards 2025 for their cutting-edge sensing technology and emotional support capabilities. The devices demonstrate innovative design solutions for healthcare and technology, showcasing PolyU's commitment to research excellence.
Researchers developed a lighter, smarter magnetoreceptive e-skin that tracks signal paths for applications like virtual reality and robotic systems. The new technology emulates the functioning of real skin and saves energy by using a single global sensor surface and central processing unit.
Researchers at Kumamoto University have developed a new mathematical modeling technique for linear periodically time-varying systems, enhancing the accuracy of control system models. This breakthrough has profound implications for industries relying on complex control systems, such as autonomous vehicles and aerospace applications, imp...
Researchers developed a sensor platform that tracks multiple metabolites continuously, offering a window into disease onset and health status. The technology harnesses natural biochemical processes, enabling reliable detection of over 800 metabolites, with potential applications in diagnosing metabolic disorders and optimizing fitness.
Researchers have developed a nickel-iron alloy metamaterial that can concentrate and locally enhance magnetic fields. By controlling the geometry and number of 'petals', the effect can be increased, making it suitable for improving the sensitivity of magnetic sensors.
Researchers have developed a new sensor to detect hazardous gas leaks in lithium-ion batteries, which could prevent catastrophic failures and enhance the reliability of battery-powered technologies. The sensor detects trace amounts of ethylene carbonate vapour, targeting potential battery failures before they escalate into disasters.
Researchers from UMass Amherst have discovered that epithelial cells communicate with slow electrical signals, 1,000 times slower than nerve impulses. This finding could enable new applications in wearable sensors, wound healing and more.
Researchers developed a pioneering 3-axis Hall-effect magnetic sensor with an inverted pyramid structure, offering significant advancements in sensitivity and offset reduction. The sensor boasts exceptional performance, with high current-related sensitivity and low crosstalk rate, making it ideal for high-precision applications.
A new Brazilian technology developed by brain4care has been shown to measure absolute values of intracranial pressure (ICP) more accurately than existing non-invasive methods. The technology analyzes ICP's morphology and trend, allowing for early detection of neurological changes and enabling doctors to intervene quickly and accurately.
The Southwest Research Institute-led instrument measures electric and magnetic fields to characterize the lunar subsurface, shedding light on material differentiation and thermal history. The deployment marks a new era in lunar exploration, providing unprecedented insights into the Moon's composition and structure.
Researchers from TU Delft studied FePS₃ nanomaterial, discovering how vibrations change near its phase transition temperature and affecting magnetic properties. The findings pave the way for ultra-sensitive sensors with exceptional sensitivity to internal and external forces.
Researchers developed a cell phone application that detects posture and advises users on how to improve alignment through voice commands, vibrations, or images. The app helps patients with hemiparesis, a common sequelae of strokes, regain lost body awareness and perform daily tasks.
The MultiX project aims to revolutionize 6G communication networks by integrating multisensory perception, allowing them to interact with the environment in real-time. This innovation has potential applications in healthcare, such as recognizing falls in elderly people or monitoring vital signs at home.
A team of researchers observed first- and second-order dissipative phase transitions in a two-photon driven Kerr resonator, showcasing the transformative power of quantum systems. The study demonstrates the validity of theoretical predictions and opens new possibilities for engineering stable and responsive quantum systems.
Researchers at the University of Kansas are partnering with regional high schools to train about 500 students in AI coding and microelectronics. The program aims to develop a workforce that can specialize in AI and microelectronics, with a focus on community-centered projects and altruistic goals.
Scientists at Oak Ridge National Laboratory developed a new way to measure high-speed fluctuations in magnetic materials. This discovery could lead to advancements in technologies such as computing and data storage.
A researcher is using accessible 3D scanning technologies to document and analyze stranded marine mammals, providing precise morphometric assessments and creating interactive visualizations. This approach enhances data collection, democratizes access, and expands the impact of conservation efforts worldwide.
A new study proposes a theoretical framework for AI-based wearable blood pressure sensors, paving the way for non-invasive and continuous cardiovascular monitoring. The review highlights clinical aspects of implementation, real-time data transmission, and signal quality degradation, and presents strategies to address technical barriers.
Researchers have developed a new AI tool that uses sensors and real-time data to predict water quality across the US. This tool can be applied nationwide, benefiting communities by providing water quality forecasts, streamlining operations, and informing strategies for managing turbidity in basins worldwide.
The Dielectric Elastomer Sensor (DES) offers real-time pressure and vibration monitoring in soft fluidic actuators, ideal for robotics and biomedical devices. The sensor's flexibility and ability to withstand large deformations make it suitable for applications in automobile designing and structural health monitoring.
Researchers have developed a highly sensitive water contamination detection tool using a cantilever-based test that can detect metals like lead and cadmium at concentrations down to two and one parts per billion. The technology merges synthetic biology and nanotechnology, enabling rapid detection of chemicals in water.
Researchers created a fiber computer that can be integrated into clothing to track health conditions and physical activity. The technology achieved an average accuracy of 70% when individually operated, but increased to nearly 95% when connected collectively.
Researchers developed heteroepitaxial diamond quantum sensors with high sensitivity and accuracy for monitoring electric vehicle battery systems. The breakthrough could pave the way for widespread adoption in industries related to sustainable development.
A new study from USC Dornsife finds that LA's urban greenery absorbs up to 60% of daytime fossil fuel CO2 emissions in spring and summer, providing valuable insights into the impact of trees on air quality. The research provides data-driven insights for future planting efforts and informs the USC Urban Trees Initiative.
Researchers at Chuo University developed a non-destructive image sensor with a freely coatable and paintable design for functional photo-thermal modules. The new design enables the full utilization of photo-thermoelectric (PTE) sensors, overcoming trade-off trends between photo-absorptance values and Seebeck coefficients.
A new laser-based device can analyze gas samples with high precision, detecting molecules at minute concentrations. The technology has potential applications in medical diagnostics, tracking greenhouse gas emissions, and more.
Researchers developed a novel bio-hybrid drone by integrating robotic technology with biological odor sensors from insects, overcoming visual sensor limitations. The drone's enhanced performance enables accurate odor detection and tracking, broadening applications in gas sensing, disaster response, and rescue operations.
Researchers created printed fabric sensors that can detect tiny skin movements for sleep disorder monitoring. The smart pyjamas achieved an accuracy of 98.6% in identifying six different sleep states, including nasal and mouth breathing, snoring, and teeth grinding.
A new, inexpensive measurement device can measure both pressure and acceleration using a single design and method, saving costs and simplifying manufacturing. This technology has potential applications in medical care, disaster mitigation, landslide alerts, and heavy-machinery maintenance.
Researchers developed a new flexible sensor that accurately measures both temperature changes and physical strain simultaneously, enabling clear pinpointing of signals. The sensor, made from laser-induced graphene, can detect small temperature changes and is self-powered, making it ideal for continuous monitoring in clinical settings.
The study reveals that relaxor ferroelectrics like lead magnesium niobate-lead titanate (PMN-PT) exhibit improved performance when shrunk down to a precise range of 25-30 nanometers. This 'Goldilocks zone' size effect could enable advanced applications such as nanoelectromechanical systems and energy harvesting.
Researchers from Japan develop a non-contact, millimeter-wave sensor system to monitor respiratory motion during diagnostic X-ray and CT imaging. The system has been validated through extensive testing with healthy volunteers and shows promise for improving diagnostic accuracy and treatment outcomes.
Researchers developed a new approach to enhance spatial resolution of distributed temperature sensing, achieving a theoretical spatial resolution of 4.8 cm. This breakthrough uses perfluorinated graded-index POFs with high temperature sensitivity and low strain sensitivity.
Researchers have developed a new, low-cost triboelectric nanogenerator (TENG) that harnesses the power of tacky tape to generate electricity. The device produces up to 53 milliwatts of power and can light over 350 LED lights or power a laser pointer.
Researchers have discovered a new way to measure magnetic field orientation using tiny atom-based compasses. The technology has the potential to create precise measurement devices for various applications, including navigation, brain imaging, and medical research.
Researchers developed a simple and sensitive optical fiber sensor for real-time detection of extremely low levels of arsenic in water. The sensor can detect arsenic levels as low as 0.09 ppb and provides analysis within just 0.5 seconds, making it a powerful tool for monitoring and ensuring safer water quality.
Research finds that aerosols from Canadian wildfires of summer 2023 contributed to the formation of ice clouds over the Arctic. Aerosol particles were transported via atmospheric rivers and contributed to ice cloud formation at temperatures warmer than usual.
Researchers have identified top-performing sensing materials and mechanisms for detecting greenhouse gases, including palladium-tin dioxide nanoparticles and tungsten trioxide nanowires. These advanced materials demonstrate improved sensitivity, response time, and recovery time compared to traditional sensors.
Researchers at Chung-Ang University have developed a novel hydrovoltaic device that can produce up to a few tens of microwatts and responds quickly to evaporation-driven changes in water flow, making it suitable for fire detection. The device also exhibits excellent stability over extended periods.
Researchers used novel fluorescent sensors to track pH and H2O2 levels inside autophagic vesicles, revealing high levels in the middle stage of autophagy. The discovery opens up new avenues for understanding autophagy in health and disease, potentially leading to new ways of treating diseases associated with impaired autophagy.
Researchers developed biodegradable paper-based temperature and humidity sensors that detect changes in relative humidity levels from 20% to 90% and temperature variations from 25°C to 50°C. These sensors are affordable, reusable, and environmentally friendly, offering a potential solution for precise monitoring of plant growth.
Researchers discovered how polarons behave in tellurene as it becomes thinner, revealing changes in electrical transport and optical properties. This knowledge could inform the design of advanced technologies like more efficient electronic devices or novel sensors.
The Institute of Physical Chemistry of the Polish Academy of Sciences has developed a novel system for determining potassium levels in liquid food samples using fast and non-destructive techniques. The low-cost, ion-selective syringe electrodes offer excellent selectivity and linear range, making them suitable for point-of-care devices.
Researchers develop precision techniques using optical sensors and AI to facilitate efficient and accurate food drying. The study discusses three emerging smart drying techniques, providing practical information for the food industry.
Researchers optimized the design of sensors in autonomous vehicles to reduce aerodynamic drag, resulting in a 3.44% decrease in total drag and 5.99% reduction in aerodynamic drag coefficient. This improvement enables longer driving ranges for self-driving cars.
The Department of Energy's new research centers, led by SLAC National Accelerator Laboratory, aim to make microelectronics more energy efficient and operate in extreme environments. Researchers will focus on innovating material design, devices, and systems architectures to push computing and sensing capabilities.