Articles tagged with Sensors
Researchers at TU Graz developed methods to run AI models locally on small devices with limited memory, enabling efficient positioning error correction and industrial applications. The E-MINDS project introduced a modular system using division, orchestration, subspace configurable networks, quantisation, and pruning techniques.
The team developed a novel composite material featuring platinum nanoparticles anchored on three-dimensional Na-Ti3C2Tx structures for highly efficient dopamine detection. The composite's larger active surface area enhances the stability of the structure and improves electron transfer, leading to excellent sensitivity and performance.
Scientists at Northwestern University have developed an algorithm that enables smartwatches to more accurately monitor the calories burned by people with obesity during various physical activities. The technology bridges a critical gap in fitness technology, allowing for more accurate tracking and tailored interventions.
Researchers have developed a wearable system that reads respiratory patterns directly from wrist pulse signals, enabling continuous monitoring with high comfort and precision. The device offers a promising alternative to traditional respiratory monitors, particularly for people living with chronic conditions or recovering from illness.
A team of scientists from Colorado State University and the University of São Paulo have developed a seismological solution to improve the resolution of ultrasound images for lung monitoring. This breakthrough could lead to improved critical care for patients, including continuous lung monitoring at the bedside. The technique uses seis...
Researchers at UC San Diego's Center for Wireless Communications have developed SenSync, a software-based innovation that enables real-time and accurate passive sensing using harvested radio frequency energy. The system delivers five times greater sensory resolution and eight times the data throughput compared to previous methods.
The Florida Atlantic University Sensing Institute's SEA Econet network provides accurate rainfall and flood forecasting, supporting public safety during severe weather events. With over 160 atmospheric stations and more than 30 water-level stations across Florida, the network delivers real-time data to inform forecasts and warnings.
A wearable device developed by researchers in Brazil uses a camera and tactile signals to warn visually impaired users of obstacles above the waistline. The device was tested on 11 blind adults and showed promising results, with participants reporting feeling more secure and completing routes with ease.
Quaise Energy has successfully demonstrated its novel drilling technique on a full-scale oil rig, aiming to prove that clean, renewable geothermal energy can power the world. The company's three-tier approach involves replacing conventional drill bits with millimeter-wave energy to create deeper holes and access supercritical water.
A new study from North Carolina State University and the University of North Carolina at Chapel Hill reveals that coastal flooding is occurring more frequently than previously thought. The study found major flaws with the widely used approach of using marine water level data to capture instances of flooding.
The study compares X-ray spectra from different excitation sources, including electrons and photons, to analyze the spectral differences in copper and tungsten. The results show that the intensities of certain lines remain constant across excitation methods, providing insight for interpreting spectral data.
A research team at DGIST developed an algorithm that allows inexpensive sensors to detect transparent obstacles like glass walls. The probabilistic incremental navigation-based mapping (PINMAP) algorithm accumulates rare point data and calculates the likelihood of glass wall presence, achieving detection performance comparable to expen...
A new handheld device called E-Tongue can analyze water samples and detect lead contamination, providing users with a color-coded reading and concentration value. The researchers tested the device through a citizen science project across four Massachusetts towns, finding it effective in detecting lead in drinking water.
A new non-hand-worn, load-free VR rehabilitation system has been developed using deep learning and ionic hydrogel technology, offering a more comfortable and accessible therapy solution for patients recovering from conditions like stroke and osteoarthritis. The system achieved an impressive 97.9% accuracy in recognizing hand gestures.
Researchers at the University of Utah found that outdoor air pollution from wildfires and dust events can infiltrate buildings using commercial HVAC systems with air-side economizers. However, indoor air quality remained good overall, and portable air filters can be an effective solution.
Researchers at Stanford University have developed a modular biosensor called SENSBIT that can continuously track drug concentration profiles in real time. The device has remained functional for up to seven days when implanted directly into the blood vessels of live rats.
Researchers at Tufts University have created a saliva-sensing dental floss that can accurately measure cortisol, a key indicator of stress. The device uses molecularly imprinted polymers and is comparable in accuracy to existing sensors, making it a promising tool for tracking stress and related conditions.
The University of Oldenburg has secured funding for three research clusters: Hearing4all, Ocean Floor, and NaviSense. These clusters aim to improve hearing loss prediction, diagnosis, and treatment, as well as animal navigation research. The funding enables the continuation of high-quality research with social relevance.
Researchers developed a novel method to analyze energy losses in soft magnetic materials, using diamond quantum sensors and protocols for kHz and MHz frequencies. The study reveals near-zero phase delay up to 2.3 MHz in high-frequency inductors, indicating negligible energy losses.
Triboelectric and piezoelectric nanogenerators convert mechanical energy into electrical energy, enhancing robotic autonomy and efficiency. The technology has the potential to reshape future robotic capabilities, particularly in industrial automation, healthcare, and smart home applications.
Researchers from MIT and SMART extended fresh-cut crops' shelf life by four days at room temperature and 10 days when refrigerated using melatonin-filled microneedles. This technology could reduce global food waste, providing an alternative to refrigeration for regions with limited infrastructure.
Researchers developed a universal nanosensor to detect indole-3-acetic acid (IAA) in living plants, providing real-time insights into plant health and stress response. The sensor enables accurate measurements without genetic modification or chlorophyll interference.
The University of Texas at Arlington's (UTA) Texas Manufacturing Assistance Center (TMAC) has developed a real-time sensor data system to track environmental impact. The program helps Texas manufacturers reduce pollution, lower emissions, and save costs by identifying energy waste, water consumption, and air leaks.
Researchers developed a dental floss pick with a built-in sensor that accurately measures cortisol levels in saliva, mimicking blood levels. The device takes around 10 minutes to report results and has been shown to be sensitive enough to detect small increases in cortisol indicative of stress.
A research group at Chuo University has developed an all-printable device fabrication strategy to overcome technical limitations of multi-functional image sensor sheets. The new technique accurately prints carbon nanotube channels and integrates other constituents into single devices, facilitating non-destructive monitoring.
Researchers developed a dual-laser Brillouin optical correlation-domain reflectometry system that measures strain and temperature along an optical fiber without costly GHz equipment. The setup recorded Brillouin gain spectra at only about 200 MHz, over 50 times lower than the usual 11 GHz band.
The TUCAN6-CM project aims to transform next-generation mobile networks through efficient integration of communication, computing, and sensing technologies. Advanced solutions will enhance quality of life, sustainability, and safety in smart cities and industrial environments.
Researchers developed a technique that enables robots to learn about an object's weight, softness, or contents by picking it up and gently shaking it. This method uses internal sensors and simulation processes to rapidly identify characteristics of the object, making it suitable for applications where cameras might be less effective.
A modified surgical face mask can detect chronic kidney disease by analyzing the wearer's breath, showing high sensitivity for CKD-related metabolites. The sensor accurately identifies patients with CKD 84% of the time and those without 88% of the time.
The MASTER project invites educational institutions to develop innovative XR educational content and validate cutting-edge XR technologies in real settings. Selected applicants will receive financial support, access to advanced XR tools, and expert mentorship.
Z-PULSE Ltd's self-powered wearable health sensors can monitor breathing patterns, bed occupancy, and foetal movements without batteries. The technology aims to improve dementia care and potentially prevent up to 3,400 stillbirths in the UK each year.
The FAU Center of Excellence will focus on developing advanced algorithms, secure hardware solutions, and workforce development to address the strategic gap in electromagnetic spectrum management. This initiative aims to produce innovative technologies to protect and control critical communication channels in contested environments.
Researchers at Graz University of Technology developed a holistic solution for structural monitoring, combining various technologies to provide usable findings for service life forecasts and proactive maintenance planning.
Researchers have demonstrated a new quantum sensing technique that surpasses conventional methods by counteracting the limitation of decoherence. The study's coherence-stabilized protocol allows for improved sensitivity and detection of subtle signals, with up to 1.65 times better efficacy per measurement.
MIT researchers have developed a way to produce large amounts of silk microneedles to deliver agrochemicals and nutrients to plants, showing promising results in treating chlorosis and adding vitamin B12 to tomato plants. The technology has the potential to serve as a new kind of plant interface for real-time health monitoring and biof...
Researchers unveiled an ultra-sensitive hydrogen sulfide sensor with extraordinary sensitivity, rapid response, and resilience. By leveraging exceptional points, the team amplified signal response and detected trace gases at 2 ppm with a lightning-fast response time of under 10 seconds.
Researchers at Shinshu University have developed a double-helical fiber sensor design that places both electrodes on one end, addressing the mechanical challenges of traditional wearable sensors. The new design enables durable, flexible sensors suitable for tracking finger gestures, facial expressions, and gait movements.
Researchers have developed ionic hydrogel self-powered sensors with sustainable energy supply, converting various external stimuli into electrical signals. The sensors offer unique advantages in structural and performance design due to their excellent flexibility and ease of preparation.
MIT engineers developed ultrathin electronic films that sense heat and other signals, reducing the bulk of conventional goggles and scopes. The new pyroelectric thin film is highly sensitive to heat and radiation across the far-infrared spectrum, enabling lighter, more portable night-vision eyewear.
Researchers developed vision-based systems for UAV localization in complex terrains, exploring hybrid approaches that integrate various sensors and algorithms. Sensor fusion techniques like LiDAR, radar, and inertial measurements combined with advanced filtering methods can substantially improve navigation reliability.
A new algorithm developed using data from China's Fengyun-3F satellite significantly improves the accuracy of key climate metrics, including TOA albedo, SWDR, and PAR. The innovation achieves remarkable correlation coefficients and rivals NASA's CERES products while reducing bias in SWDR estimation.
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.
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.
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.
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.