Articles tagged with Motion Sensors
Researchers developed a wearable vibration sensor capable of detecting subtle body movements without external power, opening new possibilities for healthcare technologies. The sensor accurately captures physiological signals and detects extremely faint vibrations across a broad frequency range.
A hierarchical 3D LiDAR localization method improves robot positioning in large outdoor spaces even after seasonal changes. The method integrates deep learning techniques to extract discriminative local features from 3D point clouds, making it robust to environmental variability.
Researchers developed a holistic monitoring system to investigate lake ecosystems' sensitivity to boat traffic, weather, and climate change. The system, WAMOS, accurately analyzes wave patterns and assigns causes, enabling precise modeling of ecosystem effects.
Researchers equipped miniature backpacks with fringe-lipped bats, revealing they hunt large prey like frogs, birds, and small mammals with remarkable success. The study found these small bats conserve energy by spending 89% of their time stationary and striking quickly, succeeding in about 50% of hunts.
A macroscopic device has been designed to reduce eddy-current damping, allowing for precise measurements of physical phenomena like gravity. The system uses a graphite disk and rare earth magnets, enabling ultra-precise sensors that can be used in classical and quantum physics research.
Researchers have developed a catalyst-free ionogel made from cellulose and an ionic liquid that exhibits exceptional strength and conductivity, outperforming synthetic analogues. The gel is also eco-friendly and low-cost, making it suitable for fully compostable high-performance electronics.
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.
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 developed T2IRay, a VR input method with precise object pointing, and ChoreoCraft, a virtual reality tool supporting choreographers' creativity. These technologies received Honorable Mention awards at CHI 2025 for their contributions to human-computer interaction.
Researchers developed a small sensor system that tracks passing cars and sends data to riders' phones. The team tested the system in Seattle and found a significant correlation between close passes and other indicators of cycling risk. The system could support mapping or navigating cyclists on safer bike routes through cities.
The Greater Mouse-Tailed Bat uses its long tail as a dynamic sensing tool to avoid obstacles and orient itself in complex environments, especially when vision and echolocation are limited. The study found that the bats' ability to navigate decreased significantly when their tail was numbed.
Deborah Levin and her Ph.D. student Irmak Taylan Karpuzcu conducted the first 3D simulations of hypersonic flows, exposing new disturbances in the interaction between gases and surfaces. The findings provide insights into the design considerations for hypersonic vehicles.
Distributed acoustic sensing systems face data processing speed limitations; researchers leverage photonic neural networks to overcome these challenges. The TWM-PNNA system achieves high recognition accuracy above 90% with low power consumption, outperforming electrical GPUs by orders of magnitude.
Researchers at Sainsbury Wellcome Centre develop novel experimental setup called Translocator, isolating fundamental elements of locomotion and motion-source separation. The team finds that individual cells in primary visual cortex use motor and vestibular signals to determine visual flow origin.
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.
A new study reveals that glacier speed varies on a daily basis due to changes in air temperature, rainfall, and tides. The research found acceleration events coinciding with high temperatures or heavy rainfall, highlighting the complex interactions between environmental factors and glacial dynamics.
A new prototype developed by the University of the Basque Country assesses and rehabilitates balance problems in patients after a stroke or due to other conditions. The device makes reliable and repeatable measurements using sensors on a platform that stimulates the patient's balance.
Researchers are developing a software framework for crowd-sourced 3D map generation and visual localization from camera data to improve real-time updates and low-cost visual localization. This technology aims to advance self-driving vehicles and enable fully automated transportation
A study by Osaka University researchers found that visual landmarks can be difficult to find in certain environments, leading to motion sickness. They propose using radio-frequency localization, such as ultra-wideband sensing, to overcome these challenges and improve indoor augmented reality applications.
A new study reveals that patients with Parkinson's disease who exhibit rest tremor have more dopamine preserved in the caudate nucleus, a part of the brain important for movement planning and cognition. This challenges traditional understanding of how dopamine loss relates to PD symptoms.
Researchers have developed sensors that can detect changes in water flow, warning operators of hazardous conditions in the deep ocean. The technology has potential to save lives by giving technicians time to reach safety.
A full textile energy grid can be wirelessly charged, powering wearable sensors, digital circuits, and even temperature control elements. The system uses MXene ink printed on nonwoven cotton textiles, demonstrating its viability for integrated textile-based electronics.
Researchers at the University of Arizona developed a transmission electron microscope with attosecond temporal resolution, allowing scientists to observe electron motion in real-time. This breakthrough enables studies of ultrafast processes at the atomic level, paving the way for advancements in physics and chemistry.
Researchers from Sandia National Laboratories have successfully miniaturized a motion sensor using silicon photonic microchip components, achieving unprecedented accuracy and reducing size by a thousand times. This breakthrough enables precise navigation even in GPS-denied areas, posing significant national security risks.
Researchers at North Carolina State University have demonstrated a technique for creating strain sensors that can function both in air and underwater. The sensors, called 'amphibious,' enable applications such as wildlife monitoring and biomedical research.
Researchers developed a low-cost, flexible sensor for badminton players that provides direct feedback on postures, footwork, arm swings, and muscle strength. The sensor uses triboelectric technology and offers real-time monitoring and recognition accuracy of 97.2% for seven technical movements.
Researchers developed a gel electret capable of stably retaining electrostatic charge and combining it with flexible electrodes to create a vibration sensor. The device achieves an 83% increase in output voltage compared to previous alkyl–π liquid electret-based sensors, enabling potential use as wearable healthcare sensors.
A proposed speed loop pseudo derivative feedforward (PDFF) controller-based direct torque controller for a PMSM drive reduces oscillations and overshoots. Simulation results show the dynamic performance of the proposed system is superior to PI controllers, with less overrun and improved stability.
A new study found that smart thermostats can identify three distinct sleep quality clusters with clear variations in duration, disturbances, and efficiency. Machine learning models were used to discern sleep quality indicators from eight terabytes of data collected from 178,706 households.
Researchers at Delft University of Technology developed a drone that flies autonomously using neuromorphic image processing and control based on the workings of animal brains. The drone's deep neural network processes data up to 64 times faster and consumes three times less energy than when running on a GPU.
A Cornell University study found that foxes' sharp snouts penetrate the snow with little resistance, reducing potential tissue damage during a headfirst dive. The unique hunting behavior, known as mousing, allows foxes to reach their prey earlier and avoid injury.
Researchers developed a new method to detect heart failure using smartphones by analyzing heart movement. The technology has been shown to be accurate in identifying patients with heart failure, offering potential benefits for remote monitoring and treatment.
A KAIST team developed an insect-mimicking semiconductor that mimics the optic nerve of insects to detect motion. The device operates at high efficiency and ultra-high speeds, and has been applied to a neuromorphic computing system for predicting vehicle paths. It achieved 92.9% less energy consumption compared to existing technology.
Researchers at Duke University create a system called MadRadar that can trick automotive radar sensors into believing anything is possible without prior knowledge. The technology can hide existing cars, create phantom vehicles, or make it seem like an actual car has changed course.
A computer vision system developed by University of Malaga engineers estimates vehicle speeds in real time using a single camera, reducing complexity and costs. The algorithm, published in Neurocomputing, aims to improve vehicle safety and has potential applications in autonomous driving and driver assistance.
A Washington State University study found that watching videos of a soft robot working with a person at picking and placing tasks lowered the viewers' safety concerns and feelings of job insecurity. Soft robots have a potential psychological advantage over rigid robots, as proximity does not increase negative reactions.
Researchers discovered a wide range of organisms, including microbes and humans, exhibit similar movement patterns to navigate their surroundings. These patterns are thought to be linked to uncertainty management in the brain.
A team of researchers from the University of Zurich and Intel has developed an AI system called Swift that can beat human champions in drone racing. The autonomous drone achieved the fastest lap, winning multiple races against three world-class champions, but human pilots proved more adaptable to changing conditions.
Skateboarders possess a unique sensory knowledge of cities, which can help mediate conflicts between those who enjoy and those who dislike the sport's sounds. By paying attention to sound, individuals can gain 'sonic' agency over spaces in the city.
Researchers have proposed an innovative solution to address limitations of lidar technology, enabling imaging in low SNR environments. The novel technique uses a high-scanning speed AOD and metasurface-enhanced scanning lidar, extending ambiguity range by up to 35 times.
A new study reveals that the brain makes trade-offs between accuracy and speed in sensory perception. Initial visual processing is faster but less accurate compared to other parts of the brain. The findings contradict the efficient coding hypothesis, suggesting that the brain can process sensory inputs quickly with small errors.
A new composite material made of ultra-tiny silicon nanoparticles and an organic element can convert lower-energy light into higher-energy light, enabling the formation of free radicals to attack cancer tissue. The material has potential applications in boosting solar panel efficiency and improving bioimaging technologies.
Researchers at Aalto University developed a new bio-inspired sensor that can recognize moving objects in a single frame from a video and predict where they will move to. The sensor uses embedded information to detect motion, allowing for accurate predictions of future trajectories.
Researchers from ETH Zurich have achieved groundbreaking cooling of a glass nanoparticle along two directions of motion, overcoming the 'Dark Mode Effect'. This breakthrough enables the creation of fragile quantum states and paves the way for ultrasensitive gyroscopes and sensors.
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.
Researchers from Tokyo University of Science developed a flexible flow sensor that can measure shear stress and flow angle on curved surfaces. The sensor demonstrated effectiveness in measuring airflow speeds up to 170 m/s and has potential applications in industrial-scale fluid machinery.
Researchers used smartphone sensors to measure walking activity in 100,000 UK Biobank participants and developed predictive models of mortality risk. The study showed that just 6 minutes per day of steady walking measured by the sensor can accurately predict mortality risk, similar to physical measures.
Researchers used data from 100,000 UK Biobank participants to develop predictive models of mortality risk using only 6 minutes of steady walking collected by smartphone sensors. These models achieved similar accuracy to traditional measures of gait speed and walk pace.
A new 3D printing technique allows for the mass production of customized electronic machines, enabling advanced applications in robotics, medical devices, and others. This breakthrough could revolutionize manufacturing by providing a cost-effective solution for producing sensors in smaller volumes.
Researchers at WVU are using robots to analyze potential hazards and provide walkability maps in retail environments, aiming to reduce occupational injuries. The team plans to test the robots after hours in an actual retail space, combining camera data with wheel speed measurements to estimate slip risks.
Researchers created a graffiti-painting robot system that uses motion capture technology to record human painting motions. The team's cable-driven robot spray paints artwork with precision and speed, enabling the creation of human-style graffiti.
Researchers from Chemnitz University of Technology and Leibniz IFW Dresden create a new approach for miniaturizing soft sensor units with integrated artificial hairs. They successfully integrate the 3D magnetic field sensors with magnetically rooted fine hairs into an artificial e-skin, enabling precise spatial arrangement and mass pro...
Researchers at University of Innsbruck and ETH Zurich propose a new concept for a high-precision quantum sensor using microcavities and levitated nanoparticles. By exploiting fast unstable dynamics, they demonstrate mechanical squeezing reducing motional fluctuations below zero-point motion.
A new laboratory method uses a high-accuracy ball delivery device and speed measurement system to provide better clues on exactly how high and far baseballs will fly. The technique allows for more precision than traditional wind tunnel measurements by firing the baseballs through a line of sensors, measuring the change in speed as they...
A new HMI system, Robotic VR, allows users to teleoperate robots with precision and feel, enabling complicated tasks such as Covid-19 swab tests and patient care. The system provides immersive feedback via Bluetooth, Wi-Fi, and the internet.
Researchers at the University of Missouri are using a $2 million grant to install in-home sensors that monitor older adults' daily activities. The sensors can detect falls, track vital signs, and alert care teams to abnormalities, enabling timely interventions.
A new study by the University of Plymouth has demonstrated the potential of gait authentication to protect smartphones from cyber crime. The system achieved an average accuracy rate of around 85% in recognizing individuals' stride patterns, with rates rising to almost 90% when participants were walking normally and fast.
Researchers have developed a high-resolution radar sensor that can reliably distinguish between cars and pedestrians, providing counts, speed, and direction of each moving target. The sensor outperforms cameras in low-visibility conditions and beats conventional radar by providing a richer picture.
Researchers developed an interactive system using floor projections that respond to the player's movements to encourage children's imagination and engagement. The system was evaluated in a study, revealing that unrealistic interactions stimulate children's imaginations more than realistic interactions.
Researchers developed a simple screening tool for cervical myelopathy (CM) using machine learning and finger motion analysis with a non-contact sensor. The tool has shown high accuracy in detecting CM, outperforming specialist diagnoses based on physical findings.