Articles tagged with Sensors
The study tested wearable sensors and associated alerts to guide people's behavior, finding that personalized timing and symptom-based notifications led to higher self-test rates. The researchers also emphasized the importance of designing and clinically implementing new wearable sensors that track various health parameters.
A team of researchers is creating a socially assistive model for a robotic dog that adapts its behavior based on the owner's physiological and emotional characteristics. The project aims to improve interactions between humans and robots in home and healthcare settings.
Researchers at TU Delft developed an insect-inspired navigation strategy for tiny, lightweight robots, allowing them to return home after long trajectories while requiring minimal computation and memory. The strategy combines visual breadcrumbs and step counting to enable autonomous navigation in cluttered environments.
Scientists from HZDR, TU Chemnitz, TU Dresden, and Forschungszentrum Jülich have demonstrated the storage of entire bit sequences in cylindrical domains. The team's findings could lead to novel types of data storage and sensors, including magnetic variants of neural networks.
Researchers created tiny force sensors directly in chicken embryos to study spinal cord malformations. The study aims to prevent congenital malformations by identifying new preventative and therapeutic strategies. Quantifying mechanical forces during embryonic development promises a step change in understanding development.
Researchers used movement sensors to track thoroughbreds' stride patterns and identified miniscule changes associated with increased injury risk. The technology has been shown to prevent catastrophic injuries by alerting trainers and veterinarians to intervene before a major injury occurs, resulting in longer careers for affected horses.
A new system developed by researchers at Binghamton University uses local computing power to analyze sensor data from everyday devices like smartphones and laptops, detecting abnormal movements with high accuracy. The Rapid Response Elderly Safety Monitoring (RESAM) system aims to cut reaction times and improve safety for older adults,...
Researchers have developed a novel method to significantly enhance quantum technology performance by leveraging cross-correlation of two noise sources. This approach extends coherence time, improves control fidelity, and increases sensitivity for high-frequency sensing.
The NTU team created a compact and flexible light-based sensing device, like a plaster, to provide highly accurate biomarker readings within minutes. The device detects glucose, lactate, and urea levels in sweat with ultra-high sensitivity and dynamic range.
A new partnership has developed a functional safety sensing platform based on 3D ultrasound, providing an additional layer of safety and reliability for autonomous vehicles. The technology complements existing systems and enables vehicles to detect their surroundings in real-time, even in extreme conditions.
Researchers developed a one-dimensional convolutional neural network (1D CNN) to compensate for errors due to sample location variations. The model achieved high accuracy, reducing mean absolute error to 0.695% and mean squared error to 0.876%.
A randomized controlled trial found that four weeks of outdoor gait training, combined with home exercises, improved running biomechanics and reduced the time feet were in contact with the ground. This technique may help patients improve their stride and reduce pain associated with shin splints.
The University of Maryland team created a camera mechanism that mimics the involuntary movements of the human eye, resulting in sharper and more accurate images. The Artificial Microsaccade-Enhanced Event Camera (AMI-EV) has implications for robotics, national defense, and industries relying on accurate image capture.
Researchers are working on improving the quality of high frequency wireless networks. Dr. Murat Yuksel is hoping to realize the dream of unimpeded communication at distances near and far. He is developing a smart wireless network system using machine learning, which can fine-tune the networks' efficacy.
Physicists have achieved a record-setting level of electron mobility in a thin film of ternary tetradymite, a class of mineral found in gold and quartz deposits. The material's high electron mobility makes it suitable for efficient thermoelectric devices that convert waste heat into electricity.
Scientists at IOCB Prague have developed two new types of catalytic DNA molecules that can reveal target molecule presence through fluorescence or color. The research uses directed evolution to discover novel fluorescent and colorimetric deoxyribozymes, with potential applications in diagnostic tests.
A study found that a cuffless wrist monitor provides hundreds of readings in days, enabling clinicians to determine cardiovascular risk and improve hypertension care. The device's continuous readings help confirm diagnosis and guide medication titration, potentially revolutionizing hypertension management.
Researchers from Florida Atlantic University developed a novel approach using wearable sensors and machine learning to assess balance. The method achieved high accuracy and strong correlation with ground truth balance scores, suggesting it is effective and reliable in estimating balance.
Researchers developed a new method for detecting foodborne pathogens using a 3D-printed microfluidic chip, which can rapidly test for multiple pathogens simultaneously. The chip uses light to detect pathogens and has been shown to be effective in detecting common bacteria such as E. coli and salmonella at very low concentrations.
A team of researchers from Tokyo Tech proposes a new signal-amplification system utilizing sumanene-based supramolecular polymers, exhibiting exceptional signal amplification through dynamic allosteric manipulation. The system's sensitivity was demonstrated with a 62.5-fold signal amplification of steroid molecules.
Researchers developed a 3D metamaterial capable of detecting polarization and direction of light, overcoming limitations of conventional optical devices. The breakthrough technology utilizes pi-shaped metal nanostructures with numerical aperture-detector polarimetry to analyze light distribution.
Researchers developed an emotion analysis model that can identify affective states with high accuracy using convolutional neural networks. The study shows that AI algorithms may be better at recognizing negative emotions than humans, but raises ethical concerns about data privacy and misuse.
Researchers are developing advanced electronic bandages to improve chronic wound monitoring and healing. These 'smart' dressings can sense and respond to changing conditions, providing continuous data on healing and potential complications.
Researchers at the University of Gothenburg have identified clear stress patterns among children undergoing dental treatment, particularly during anesthetic injections. The study used a sensor tool to monitor hand movements and sweating, revealing that invasive treatments were significantly more stressful for longer periods.
Researchers from Shinshu University have created a novel composite material with exceptional capabilities for motion and physiological sensing. The new sensor design showed significant performance and stability improvements, enabling practical use in wearable applications.
A trash-sorting robot has been developed that can recognize and classify objects using tactile information and machine learning algorithms. The robot achieved a classification accuracy of 98.85% in recognizing diverse garbage objects not encountered previously.
Researchers demonstrate a new way to confine infrared light using thin-film oxide membranes, which outperform bulk crystals in resolution and frequency maintenance. The technique has potential applications in photonics, sensors, and thermal management.
Researchers have developed a highly sensitive diamond quantum magnetometer that can achieve practical ambient condition magnetoencephalography. The novel magnetometer uses a single crystalline diamond to detect magnetic fields, achieving record sensitivities of up to 9.4 pT Hz-1/2 in the frequency range of 5 to 100 Hz.
Researchers developed a soft fabric necklace called Joey to monitor Kangaroo Mother Care practices with preterm infants. The device tracks vital signs and estimates KMC duration with an average accuracy of 96%, providing early detection of potentially life-threatening issues.
Researchers developed a compact sensor system with infrared imaging capabilities that can be fitted to drones for remote crop monitoring. The system can rapidly switch between edge detection and detailed infrared imaging, allowing farmers to pinpoint specific crop needs and boost harvests.
The Luxembourg Institute of Science and Technology is developing affordable gas sensors for environmental monitoring and occupational safety. The €8 million AMUSENS project aims to create portable, cost-effective sensors using nanotechnology and artificial intelligence.
A self-powered sensor using triboelectric nanogenerator technology can detect movement during MRI scans, shutting them down in real time to produce clearer images. This innovation aims to improve the efficiency and reduce frustration for patients and technicians.
Researchers have developed a new perovskite-based camera inspired by the structures and functions of bird's eyes, specializing in object detection. The camera features an artificial fovea and multispectral image sensor that detects UV and RGB light, providing greater motion detection capabilities than conventional cameras.
Researchers developed an adhesive sensing device that seamlessly attaches to human skin to detect and monitor various health signals, such as glucose levels and heart rate. The device can be reprogrammed and recycled, making it a potential tool for managing diseases like diabetes.
Researchers have developed a method to print adaptive and eco-friendly sensors directly onto biological surfaces, including human skin. The new approach uses 'electronic spider silk' that can conform to surfaces while providing high-quality sensor performance.
The researchers created a chemosensor that detects lactic acid levels in saliva without the need for an electrical power source, opening up possibilities for easy use in remote locations. The sensor uses graphene foam technology to measure changes in quantum capacitance when lactate binds, allowing for lower-cost and more reliable trac...
Scientists from TU Delft and Brown University engineer string-like resonators capable of vibrating for extended periods at room temperature, enabling sensitive sensing applications. The innovation uses advanced nanotechnology techniques and machine learning algorithms to create ultra-long strings with minimal energy loss.
Researchers developed a flexible static electricity-based sensor that detects objects within a certain range. The new technology has potential applications in smart devices and wearable technology, such as enhancing phone screens to recognize more finger gestures or detecting drowsiness while driving.
Researchers aim to create polymers that can form the basis of effective sensors for applications in physiological, environmental, and Internet of Things monitoring. The goal is to increase energy efficiency and broaden material choices, enabling devices to operate at low voltage and interact with ions and transport ionic charges.
A new sensor has given unprecedented look at changes in cell's energy currency, allowing researchers to study fluctuations in ATP levels. This enables scientists to track how changes in ATP affect the cell and contribute to diseases like Parkinson’s.
Researchers developed a high-resolution sensor to track real-time dynamics of ATP levels in cells and within subcellular compartments. The iATPSnFR2 sensor has high sensitivity across a wide range of ATP concentrations, enabling accurate tracking of ATP levels and their dynamics.
Researchers have developed a method to 3D print silica glass micro-optics on the tips of optic fibers, creating structures 1,000 times smaller than a grain of sand. This breakthrough enables more sensitive remote sensors for environment and healthcare applications, as well as innovations in pharmaceuticals and chemicals.
The IV-Lab project aims to develop a miniaturized, implantable multi-sensors device to monitor blood vessel health. The device will integrate multiple sensors measuring blood pressure, vessel deformation, and cardiovascular biomarkers, enabling timely and personalized treatment for patients with cardiovascular diseases.
A new, affordable sensor technology can detect lead concentrations as low as one part per billion, making it a significant step forward in addressing global health issues. The handheld device can be used for on-site monitoring and requires only a droplet of water.
Researchers in Brazil have developed a novel method to produce electrochemical sensors using fallen tree leaves, offering an eco-friendly alternative to conventional substrates. The sensors were successfully tested for detecting dopamine and paracetamol concentrations, demonstrating their potential for medical and laboratory applications.
A team of researchers from MIT created a lightweight, compact, and efficient mechanism to reduce noise transmission using a sound-suppressing silk fabric. The fabric uses vibrations to cancel out unwanted sounds in two different ways, one for small spaces and another for larger areas like rooms or cars.
Researchers from GIST and MIT CSAIL develop a MultiSenseBadmpton dataset to enhance badminton performance analysis and AI-based coaching. The dataset captures joint movements, muscle signals, and gaze movements of badminton players.
Researchers developed a highly reflective black paint that improves detection of dark objects by lidar sensors in self-driving cars. The new paint, made with titanium dioxide, was tested on two types of lidar sensors and showed improved performance compared to traditional carbon-based paints.
A new sensor developed at the University of Copenhagen and Hvidovre Hospital can detect errors in MRI scans using laser light and gas, paving the way for better, cheaper, and faster scans. The sensor works by measuring changes in the magnetic field, allowing for corrections to be made and images to be made accurate.
Researchers developed a device with AI algorithms to analyze suckling strength and pattern in newborns. The system showed improved accuracy over subjective clinician assessments, identifying abnormal patterns that may indicate the need for surgical intervention or improved feeding practices.
Lan Yang and Jie Liao demonstrate a transformative approach to overcome limitations of whispering-gallery-mode (WGM) resonators, enabling simultaneous monitoring of multiple resonant modes within a single WGM resonator. This allows for greater resolution and accuracy in detecting molecules, with a potentially limitless range of measure...
Researchers have analyzed over a thousand images of snow to study its optical properties. The findings show promise in improving avalanche safety and autonomous car technology, but more data is needed.
Researchers developed a bioelectronic chip that can detect vitamins C and D in body fluids, offering a low-cost and easy-to-use solution for micronutrient monitoring. The chip is disposable, flexible, and can be adapted for wearable devices, enabling personalized diets and prevention of deficiencies.
Adults with type 1 diabetes who use modern hybrid insulin pumps experience significant improvements in blood sugar levels, reducing the risk of organ damage by up to three hours per day. The treatment also reduces the time spent with low blood sugar levels and is associated with high patient satisfaction.
Researchers propose a new strategy to further enhance the performance of gas sensors using single-atom catalysts. The review discusses the application, structure, and principles of semiconductor-based gas sensors, as well as the mechanisms through which single-atom catalysts improve gas sensitivity.
Researchers developed a wearable technology system to monitor surgeons' postures during long surgical procedures, finding that 52.1% of active time was spent in static postures. The study showed potential for improving ergonomics and preventing injuries by providing objective feedback on posture correction.
The researchers used an optomechanical methodology to extract the thermal expansion coefficient, specific heat, and thermal conductivity of five different materials, including graphene and ultra-thin silicon membrane. This method provides a route toward improving our understanding of heat transport in the 2D limit.
A recent study found that an e-tongue can detect signs of microorganisms in white wine within a week after contamination, four weeks before a human panel notices the change in aroma. This technology has the potential to augment traditional methods and allow winemakers to catch and mitigate problems sooner.
A new tagging method, Bioadhesive Interface for Marine Sensors (BIMS), provides a rapid, non-invasive way to track marine animal movements and behaviors. BIMS uses a soft hydrogel-based adhesive that forms strong bonds with animal tissues, allowing for long-term monitoring of fragile species.
Researchers at UCLA-developed an experimental device that reduces glare in images using low-power ambient light. The technology has potential applications in various fields, including autonomous vehicles, object recognition, image encryption, and defect detection.