Articles tagged with Smartphones
Researchers developed a new display technology that uses crystalline silicon film growth at lower temperatures, potentially replacing existing processes. This innovation has the potential to increase efficiency and luminance while lowering production costs for electronic devices like solar cells.
Over 65s value technology to aid medication adherence, but prioritize familiarity and ease of use. Concerns include data security, dependence on tech, and consequences of failures.
A smartphone video-based app substitutes for in-person daily visits required for tuberculosis treatment, with patients showing similar adherence rates as traditional DOT. The app offers a more private and cost-effective option for monitoring medication intake, but further research is needed to assess its full impact.
A new study finds that telemedicine can offer aid to people hit by hurricanes Harvey and Irma by providing routine medical care in the days following the disaster. The top diagnosis during this time included acute respiratory illnesses and skin problems, similar to national trends.
Researchers have developed a low-cost, portable laboratory on a phone that works nearly as well as clinical laboratories to detect common viral and bacterial infections. The device was tested with 771 patient samples and found to be accurate in detecting 12 common diseases such as mumps, measles, herpes, and Lyme Disease.
A randomized clinical trial found that smartphone app use improved self-reported medication adherence, but not systolic blood pressure, among participants with poorly controlled high blood pressure. The study used the Medisafe app and lasted 12 weeks.
Researchers at UCLA Samueli School of Engineering have demonstrated that deep learning can enhance microscopic details in photos taken by smartphones, approaching the quality of laboratory-grade microscopes. This technique could bring high-quality medical diagnostics to resource-poor regions, using inexpensively produced attachments.
A new study published in NeuroRegulation found that smartphone overuse is associated with higher levels of loneliness, anxiety and depression. The study suggests strategies such as turning off push notifications, scheduling focused work periods and engaging in face-to-face interactions to combat digital addiction.
Researchers developed a smartphone app to generate an objective score that reflects symptom severity in patients with Parkinson's disease. The app uses machine learning and existing smartphone components to collect data on movement, speech, and daily tasks.
A new smartphone app developed by animal welfare experts will support vital work in clinics caring for stray dogs worldwide. The app enables staff to track the wellbeing of dogs during catch-neuter-return processes, spotting signs of distress and developing strategies to improve care.
A randomized clinical trial found a smartphone application to have a 94% diagnostic accuracy for assessing blood flow in wrist arteries, surpassing the traditional Allen test. The study highlights the potential of smartphone applications to aid physicians in making decisions at the bedside.
A study by the University of Jyväskylä found that Finnish drivers use their smartphones extensively while driving, with WhatsApp being the most heavily used app. Heavier users even increase their phone use in dense traffic, highlighting a lack of moderation among some drivers.
A study of 55 Indian children aged 6-24 months found they were attracted to music and could identify themselves in videos at various stages. However, despite interacting with parents during smartphone viewing, the children did not learn anything from the YouTube clips.
A new mobile application developed at the University of Turku can detect atrial fibrillation with 96% accuracy, significantly reducing the risk of stroke. The app uses smartphone accelerometers to identify patients with atrial fibrillation, and its results have been validated in a study involving 300 patients.
A new smartphone-endoscope device allows surgeons to perform intricate neurosurgical procedures with improved efficiency, reduced scarring, and shorter recovery times. The device's high-definition image provides a clear view of the surgical site, while its portability and affordability make it an attractive option for underserved areas.
Researchers developed a framework to measure an athlete's risk of injury using IoT technology, combining data from smartphones, devices, and injury surveillance. The study found that athletes who played at least eight games had more than three times greater odds of injury occurrence.
A new study suggests that smartphone addiction taps into the human need to connect with others, rooted in evolution. By turning off push notifications and setting boundaries, individuals can regain control over their smartphone use.
A new study from McMaster University suggests that smartphones and data centers will be the most damaging information and communications technologies to the environment by 2040. The research highlights the significant emissions impact of the ICT industry, driven primarily by production and operation.
A field experiment by researchers found that people report less enjoyment from meals with friends and family when phones are present, compared to phoneless conditions. Frequent phone use may chip away at well-being over time.
A recent study from the University of British Columbia suggests that using smartphones during dinner with friends and family decreases enjoyment. The researchers found that participants who used their phones during meals reported feeling more distracted and experiencing less enjoyment compared to those who kept their devices away.
Research by Candice Odgers highlights both positive and negative uses of smartphones among teens. While moderate usage is linked to no negative impact on mental well-being, increased screen time among low-income teens correlates with more physical fights, arguments, and school troubles.
Engineers have created a laser-based wireless charging system that can safely charge smartphones sitting across a room. The system uses power from the laser to charge the smartphone via a thin power cell mounted on the back of the phone, with safety features such as a heatsink and guard beams to prevent overheating and accidental contact.
Researchers aim to develop concepts for designing digital things that prioritize transparency and understanding. The study focuses on the complexities of digital products and systems, exploring how they collect and use personal data.
A new, rapid, and low-cost method for detecting bacteria in water or a food sample has been developed by researchers at the University of Massachusetts Amherst. The technique uses a sensitive and reliable bacteria-detecting chip that can test fresh produce for bacterial loads.
A new study by SDSU professor Jean M. Twenge found that more screen time is associated with lower happiness in youths, with teens who spend more time on screens being markedly unhappier than those who engage in non-screen activities.
A new study published in the Journal of Nutrition Education and Behavior found that daily food tracking on a smartphone app was influenced by day of the week, but not season of year. Participants reported fewer foods tracked on weekends and as time in the study progressed.
UCSB mechanical engineer Daniel Gianola and colleagues use machine learning to predict material failure based on a new concept of softness. By analyzing disordered materials, they found that the size of correlated softness is identical to the number of particles in motion during failure.
Researchers developed a tiny spectrometer that can be easily integrated into smartphones, allowing for precise measurements of light absorption and reflection. The sensor has applications in gas detection, motion sensing and more, with potential to become as important as the camera.
A new study from Baylor University finds that supervisors who constantly check their phones while meeting with employees lose their trust and lead to decreased employee engagement. The research reveals that this behavior can lead to a 5% decrease in employee engagement and lower levels of psychological meaningfulness, availability, and...
A recent study found that digital assistants on smartphones are less effective than laptop-based Google searches in providing quality sexual health advice. The researchers tested Siri and Google Assistant with 50 questions and compared their answers to laptop-based Google searches, finding that Google performed better in most cases.
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 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.
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.
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.