Articles tagged with Smartphones
A University at Buffalo-led team of researchers has discovered a way to identify smartphones using just one photo, which could lead to new authentication methods and deter cybercrime. The technology analyzes pattern noise in digital images to create a unique identifier for each smartphone camera.
Engineers at UC San Diego developed a smartphone case and app that allows patients to record and track their blood glucose readings anywhere. The device, called GlucPhone, uses reusable sensors and wireless transmission for accurate measurements.
A UBC study found that iPhone pedometers missed about 1,340 steps per day compared to a purpose-built accelerometer, highlighting the need for accurate data in health research.
The UMass Lowell team is developing a new electronic monitoring system, BEACON, that uses smartphones and sensor technology to promote and reward constructive behaviors among parolees. The system aims to provide positive support to help them avoid violations and recidivism.
Researchers found a significant increase in GABA levels and disrupted balance between neurotransmitters in the brains of smartphone- and internet-addicted teenagers. Cognitive behavioral therapy improved these imbalances, suggesting a potential treatment pathway for addiction.
Researchers at George Mason University are developing new techniques for photo editing using machine-learning algorithms, allowing for easier material changes. They are also working to improve streaming video quality on mobile phones by utilizing the features of HTTP/2.
Researchers from University of Houston release open-source dataset and instructions for building a smartphone microscope with an inexpensive inkjet-printed elastomer lens. The device can perform fluorescence microscopy, detect waterborne pathogens, and has potential applications in rural areas and developing countries.
Carnegie Mellon University researcher Kasey Creswell has received a $1.9 million NIH grant to investigate the development of alcohol use disorder (AUD) in young adults. The study will examine how participants respond to alcohol in a laboratory setting and translate findings to daily life experiences.
A new survey reveals that almost half of UK kids fib about brushing their teeth, with barely a third of parents supervising their children's brushing twice a day. The consequences of neglecting children's teeth can be dire, with 40,970 surgical procedures carried out on children in 2014-15.
A new handheld spectrometer, compatible with smartphones, can acquire spectral images of everyday objects and biological samples. It has potential applications in remote medical diagnosis and environmental monitoring, and its compact design makes it easy to use.
Researchers at the University of Washington developed a new type of smart fabric that can store digital data without electronic components. The fabric uses off-the-shelf conductive thread with magnetic properties to encode and decode data, enabling secure passcode storage and smartphone-controlled interactions.
Researchers at MIT developed a smartphone app that can analyze a car's sounds and vibrations to detect issues such as clogged air filters and worn-out spark plugs. The system uses machine-learning processes to extract subtle differences, achieving accuracy above 90% in tests.
A multidisciplinary team has developed a novel platform to diagnose infectious diseases at the point-of-care using a smartphone and credit card-sized test kit. The system achieves detection limits comparable to laboratory-based methods in about 30 minutes, enabling rapid diagnosis and improved disease control.
A new study by San Diego State University finds that adolescents are sleeping fewer hours per night than older generations, with 40% of teenagers in 2015 sleeping less than 7 hours a night. Young people's increased smartphone use is linked to decreased sleep, with teens who spend more time online being more likely to not get enough sleep.
Researchers from Boston University School of Medicine are developing an app to capture health data using mobile devices, with the goal of reducing cardiac risks. The project aims to test various approaches to getting people to use these technologies over long periods of time and compare mobile health data collected in the research center.
Researchers found that smartphone apps significantly reduced people's depressive symptoms, suggesting these new digital therapies can be useful for managing the condition. The studies involved over 3400 participants and found that standalone apps were more effective than others.
Researchers at Carnegie Mellon University are developing a system that relays information from smartphones to smart traffic signals, allowing for real-time adjustments to accommodate users with visual or other disabilities. The system aims to provide extra time for pedestrians to cross streets and potentially help users catch buses.
The new 'science camera' system enables accurate measurements of optical absorption spectra of colored liquids or optically scattered spectra of solid objects. This technology has significant potential for developing countries where access to healthcare is limited.
Researchers at Carnegie Mellon University created a service called PrivacyStreams that enables app developers to access smartphone data without revealing private information. The service allows developers to sample and transform personal data into desired outputs, ensuring users' privacy is maintained.
A new, fast, and affordable tuberculosis test has been developed for resource-limited areas, enabling early diagnosis and treatment. The paper-based device uses gold nanoparticles and single-stranded DNA to detect Mycobacterium tuberculosis bacteria.
A new app developed by Carnegie Mellon University researchers allows users to control access to third-party libraries, which helps app developers make money by targeting people with ads or compiling marketing profiles. This approach promises to be an effective way of limiting the unwanted release of personal information.
Researchers developed PupilScreen, a smartphone app that detects changes in pupil's response to light using AI-powered deep learning tools, promising improved diagnosis accuracy for concussion and TBI. The app can be used by coaches, parents, medics, and others on the sidelines of sports games or in emergency situations.
A new app, BiliScreen, uses computer vision algorithms and machine learning to detect increased bilirubin levels in the eye, a potential early sign of pancreatic cancer. The app has been shown to correctly identify cases with an accuracy rate of 89.7%, offering a non-invasive and easy-to-use screening tool.
Researchers at the University of Michigan and MIT have developed Vroom software that optimizes the end-to-end interaction between mobile devices and web servers. By bundling resources and sending 'dependency hints' to browsers, Vroom cuts median load times by half, from 10 seconds to 5 seconds.
Researchers at NYU Tandon have devised an application called IllusionPIN that uses a hybrid-image keyboard to make it difficult for observers to discern PINs or access codes. The technology was tested in simulated shoulder-surfing attacks, with no successful attempts made.
KAUST researchers develop a tomographic PIV system using four low-cost smartphones and colored backlighting, enabling quantitative flow visualization. The system compares well with commercial equipment, with deviations in circulation flow of less than 8%, and holds promise for various applications involving turbulence.
A UBC study found that consumers are more likely to buy hedonic products with touchscreen technology, evoking experiential thinking. The study advises consumers to put away their smartphones when shopping for guilty pleasures to save money.
Computer scientists at the University of Washington have developed CovertBand, a software that can transform smart devices into active sonar systems, tracking personal activity and movements through walls. The technology uses repeating pulses in the audible range to gather detailed data on body position and movements.
Researchers found that adolescents aged 11-17 spent over an hour less daily in their neighborhoods if residents had a high fear of crime, compared to kids from safer areas. The study used smartphone data to track kids' whereabouts and linked collective fear of crime to high-poverty neighborhoods.
The new TRI Analyzer can perform lab-grade medical diagnostic tests on patient blood, urine, or saliva samples as reliably as clinic-based instruments. The device, costing $550, analyzes samples using the power of a smartphone's camera and illuminates sample fluids with an internal LED flash or external laser diode.
A smartphone app developed by computer scientists at the University of Waterloo uses an algorithm to direct users on camera positioning for optimal photos. The app, which has shown a 26% improvement in selfie quality, teaches users about composition principles and can be expanded to include additional factors.
The study analyzed data from 717,000 people in 111 countries and found that big gaps between activity levels coincided with higher obesity rates. The research also highlighted the powerful role of gender in country-to-country differences, with women affected more dramatically by negative consequences.
A large-scale study of daily step data from anonymous smartphone users in over 100 countries reveals how countries, genders, and community types fare in terms of physical activity. The study found that countries with greater activity variation have a larger proportion of inactive women and higher obesity rates.
A study by Kent State researchers found that playing Pokémon GO increased daily walking behavior by 102 percent among college students. The game also reduced sedentary behavior by 25 percent during the first week after downloading. These positive effects persisted weeks later, even with a decrease in game play frequency.
Researchers at Lancaster University showcase a new smartphone app that can verify product authenticity using graphene-based digital fingerprints. The technology has the potential to eradicate product counterfeiting and forgery, two of the costliest crimes in the world.
A KAIST research team identified a software glitch in smartphones' screen rotation-tracking algorithms as the cause of frequent document photo orientation errors. Their novel technique can correct phone orientation in document-capturing tasks at 93% accuracy and seamlessly work with existing methods.
A new detection system based on pressure changes offers a simpler, more affordable alternative for detecting cancer biomarkers, environmental pollutants, and food contaminants. The system uses smartphone software to provide immediate results, enabling real-time monitoring of disease outbreaks and pollution.
A new app is being developed to stop voice hacking using a smartphone's compass, which can detect magnetic fields and prevent replayed voices from being convincingly impersonated. The app aims to provide an additional layer of security for users and protect against growing digital security threats.
A new dynamic hybrid device technology has been discovered, combining semiconducting molecules C60 with layered materials graphene and hBN to create a unique material that revolutionizes smart devices. The material boasts improved physical properties, including stability, electronic compatibility, and lightness.
A study found that using smartphones to deliver lab results to attending physicians reduced discharge time by 26 minutes for chest pain patients. This innovation could improve emergency department flow and reduce waiting times.
Triboelectric nanogenerators (TENGs) convert movement into electricity, and daily body motion can power wearable devices. Researchers found that arm motion can cover the energy consumption of a smartwatch and even smartphones.
Electrick, a low-cost touch sensing technology, can turn objects of almost any shape into touchpads. The system uses electric field tomography to sense finger touches and detect locations with an accuracy of one centimeter.
A study found substantial differences in accuracy between commercially available heart rate apps, with some apps performing up to 20 beats per minute off from the clinical gold standard. Non-contact apps performed less well than contact apps, particularly at higher heart rates and lower body temperatures.
A new study reveals that period tracking apps frequently fail to meet users' needs, with inaccuracies in prediction, assumptions about sexual identity or partners, and a focus on pink design. The researchers suggest five key improvements for designing better period tracking apps.
Researchers created custom cells that produce insulin when illuminated by far-red light, allowing for remote control via smartphone application. This innovation enables instant feedback between therapeutic cells and diagnostic devices, promoting stable blood glucose levels in diabetic animals.
A study by Binghamton University found that excessive smartphone use leads to problems such as depression, social isolation and anxiety. Females were most likely to exhibit susceptibility to addiction, accounting for 7% of the 'addict' category.
The study successfully detected three magnitude 5 earthquakes since December 2016 without false alarms. Individual smartphones and 'smart' appliances could be part of a crowd-sourced network for earthquake early warnings in the future.
A crowdsourced traffic violation reporting app, Mobile Roadwatch, has been developed to improve traffic safety. Drivers can capture and report traffic violations using their smartphones, providing valuable evidence for police to issue tickets.
The study found that playing Pokémon GO with children increased physical activity, as kids walked more steps per day and engaged in outdoor activities. Parents reported improved quality time with their children, discussing topics beyond the game itself.
Researchers found that both humans and smartphones frequently fail to distinguish face morph photos from genuine faces, posing a security risk for identity verification. This weakness can be exploited by fraudsters, but raising awareness and using new technologies may help overcome these issues.
Researchers have developed a rapid-testing prototype that weighs under a pound, costs as little as $100 and can detect mosquito-borne illnesses within 30 minutes. The device uses loop-mediated isothermal amplification (LAMP) diagnostic method to test for Zika, dengue and chikungunya viruses.
A Rutgers study developed a novel model predicting smartphone interruptibility based on personality traits. The research found that users' willingness to be interrupted varied by location and mood, with pleasant moods increasing interruptability.
Researchers developed a technique to transmit audio and data via FM radio signals without affecting original transmissions. Objects like posters and clothing can now send information directly to smartphones or cars.
Researchers found that deep discounts appeal more to present-oriented people, while future-minded buyers value third-party product quality ratings. The study showed that a combination of quality ratings and discounts generates positive reactions in both groups.
A new smartphone app has been developed to measure ride comfort for railway companies, providing instant feedback from passengers about bumps, bangs and vibration on trains. The app uses artificial neural networks to evaluate ride quality, revealing that modern smartphones' accelerometers are suitable for measuring comfort.
Researchers at Georgia Institute of Technology developed new ways to interact with smartwatches, including scrolling through apps with finger gestures on the watch band and rejecting phone calls by blowing on the screen. These techniques use existing technology such as gyroscope and accelerometer sensors, making them more accessible an...
A new smartphone app called Cigbreak Free has been developed to help smokers quit by incorporating behavioral change techniques into a game-like interface. The app uses 37 evidence-based methods to encourage users to progress through levels and gain rewards, making it easier for them to stick to their New Year's resolutions.
Researchers found that users who are actively shopping in a category are more likely to search for any brand, but as users move from recognition to purchase intent, they become increasingly more likely to search for the specific brand. Brand owners are also more likely to search for their brand, even when not actively shopping.
Researchers at Uppsala University have developed a cost-effective method for live cell imaging using smartphones, enabling laboratories worldwide to study cellular responses to treatments. The innovative system utilizes 3D-printed parts and off-the-shelf electronics, providing excellent cell culture conditions and high-resolution imaging.
A new study found that children who spent more time on screen devices and watching television were more likely to engage in behaviors leading to obesity, including poor diet and lack of physical activity. The research suggests that limiting screen device use may be as important for health as limiting TV time.