Articles tagged with Smartphones
Scientists developed new cyanopyrazine-based fluorophores that are 2.4 to 20 times more intense than analogues. The presence of a cyanogroup significantly increases the efficiency of OLEDs, leading to improved brightness.
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 recent study published in eLife reveals that women, the elderly, those in rural areas, and those living in poverty are less likely to own a mobile phone, thereby excluding them from accessing mobile health (mHealth) services. The study highlights the need for digital transformation across Africa to ensure equitable access to healthcare.
A study of over 700 children aged 8-16 with concussions found that engaging in moderate screen time was associated with faster symptom clearance. The researchers suggest using moderation as the approach to screen time, rather than complete bans, to support concussion recovery.
A new study from San Diego State University's Fowler College of Business found that monitoring cellphone screen time with specific goals in mind can lead to higher perceived productivity and user satisfaction. However, excessive self-monitoring can induce fatigue and weaken the effect on productivity.
A team of Illinois Tech researchers used machine learning to estimate the age and gender of individual users with high accuracy, raising questions about data security and privacy. The study highlights the need for better regulations and best practices to protect personal information from being misused.
Researchers developed a smart mouthguard that translates complex bite patterns into instructions to control devices such as computers, smartphones and wheelchairs. The device achieves 98% accuracy and has the potential to support individuals with limited dexterity or neurological disorders.
A new study by the American Academy of Pediatrics found that teen drivers engage in risky behaviors such as speeding and handheld cellphone use. The study tracked the driving habits of 165 adolescents in Pennsylvania and found that these behaviors occurred in approximately 40% and 30% of trips, respectively.
Researchers developed a new technique that enables on-device training using less than a quarter of a megabyte of memory, reducing the need for powerful computers and central servers. This approach preserves privacy by keeping data on the device, making deep learning more accessible for low-power edge devices.
A machine learning model developed by Carnegie Mellon University can accurately predict how stay-at-home orders affect people with multiple sclerosis. The model uses passively gathered smartphone and fitness tracker data to identify factors that signal changes in health.
A new smartphone application, DryEyeRhythm, uses cameras to measure blink characteristics and administer questionnaires for diagnosing dry eye disease. The app has been validated in a study, showing high reliability and validity in assessing DED, with promising implications for early diagnosis and treatment.
Researchers found that smartphones and social media can exacerbate feelings of attachment and anomie, rather than providing purpose and meaning. Identifying a satisfying purpose in life can provide a protective effect against these negative effects.
Researchers reviewed mobile sensing designs, outcomes, and limitations to better understand its capacity for remote detection, longitudinal tracking, and exposure tracing. Despite technical and societal challenges, advances in data analytics and machine learning may improve data quality and scalability.
Researchers from Trinity College Dublin created synthetic rocks to study rare earth element formation. The study reveals that fluids containing REEs replace common limestone via complex reactions, shedding light on the mechanisms of rock formation and industrial separation processes.
Researchers have developed an algorithm that uses smartphone camera and flash to detect low blood oxygen levels. The method produced accurate results in 80% of the participants, showing promise for remote monitoring and early detection of conditions like COVID-19.
A rat study found that excessive blue light exposure is associated with earlier puberty onset, reduced melatonin levels, and increased reproductive hormones. This suggests a potential risk for childhood development and future fertility.
A study by University of Pittsburgh researchers found that older adults with consistent daily routines are happier, less depressed, and have better cognitive function. Participants who rose early, stayed active throughout the day, and followed a regular routine performed better on cognitive tests than those with disrupted patterns.
Researchers at the University of Washington developed AquaApp, a mobile app that enables underwater messaging on billions of existing smartphones and smartwatches using software. The app uses acoustic signals to transmit messages and can accommodate up to 60 unique users on its local network.
Researchers developed a silicon photodiode array for in-sensor processing, allowing for real-time image filtering and extraction of relevant visual information. The technology has potential applications in machine vision, bio-inspired systems, and intelligent imaging devices.
Researchers have developed highly sensitive and mass producible organic photodetectors that can detect weak signals. The new photodetectors exhibited a detectivity comparable to those of conventional silicon photodiodes, operating stably under temperatures above 150 °C.
A new study from the University of Florida finds that smartphones encourage consumers to prefer customized options, leading to increased self-expression and altered behaviors. The researchers suggest that companies should adapt their offerings based on device usage to tap into this trend.
Researchers developed a novel biologically-inspired intraoral camera with a wide-angle insect eye structure, increasing field of view and resolving optical aberrations. The device provides multifunctional dental imaging, including high dynamic range, 3D depth, and autofluorescence, without discomfort or image blur.
A machine learning model developed by Canadian and Slovenian researchers accurately predicted fall risk in lower limb amputees, achieving up to 80% accuracy. This breakthrough has significant implications for the development of smartphone-based fall detection systems.
A new study published in the Journal of the American Heart Association suggests that smartphone video motion analysis can accurately detect narrowed neck arteries, which are a significant risk factor for stroke. The algorithm achieved an impressive 87% accuracy rate in detecting stenosis in participants with carotid artery disease.
A team of researchers has created an online dashboard to track equity requirements in 239 shared micromobility programs across the US. The dashboard provides city officials with valuable insights on best practices for expanding access to these programs, including technology access, reduced fare options, and adaptive vehicles.
A new study published in Journal of Experimental Psychology: General found that using digital devices as external memory can improve memory skills. Participants who used digital devices to store information showed improved memory for both saved and unsaved information, with a notable increase in recall of less important details.
Researchers have developed a smartphone clip-on instrument that can rapidly detect Zika virus in whole blood using spatial RT-LAMP technology. The device is sensitive, accurate, and easy to use, making it ideal for point-of-care clinics and controlling the spread of infectious diseases.
The ClearBuds earbuds use a novel microphone system and real-time machine-learning to enhance the speaker's voice and reduce background noise. They achieved better performance than Apple AirPods Pro in signal-to-distortion ratio tests.
A recent analysis found that Big Tech companies can provide innovative financial services to people excluded from traditional banking, improving financial inclusion. However, the authors caution that without proper education, these services may introduce risks to financial stability.
Researchers at Penn State discovered that people with high 'Fear-of-Missing-Out' and 'Need-to-Belong' personality traits check their phones significantly more often when in silent mode, staying on the phone longer as well. This suggests a one-size-fits-all approach to managing smartphone distractions may be misguided.
The BirdNET app uses AI to automatically identify bird species by sound, allowing users to contribute data without expertise. Since its launch in 2018, over 2.2 million people have contributed data, successfully replicating known patterns of song dialects and mapping bird migration across continents.
A joint UC Riverside and UC Irvine study found that people who show near transfer in brain training are more likely to experience far transfer, meaning improved focus and problem-solving skills. The research suggests that working memory training can be effective for certain individuals, but its impact on fluid intelligence remains deba...
Researchers from the University of Bath and Lancaster found that popular scales measuring technology use are related and poorly defined, failing to confirm 'addictive' behaviors. This calls into question current measures of digital technology use and its links to mental health and wellbeing.
Researchers at UC San Diego demonstrated that Bluetooth signals can be used to track individuals' movements with high accuracy. The team developed an algorithm that estimates two values found in Bluetooth signals, providing a unique fingerprint for each device.
Researchers developed a bumpy carbon-based material that maintains rechargeable storage capacity down to -31 F, improving lithium-ion batteries' performance in freezing temperatures. The new material enables electric cars to drive longer and reduces the risk of battery failure in extreme cold.
Researchers at Purdue University have developed edible fluorescent silk tags with QR codes to verify whiskey authenticity, which can be activated with a smartphone scan. The technology has the potential to combat fake medications and address counterfeiting issues worldwide.
A team of researchers at The University of Texas at Austin has developed components that will allow future devices to achieve increased speeds necessary for 6G. The new radio frequency switches are made of two-dimensional materials, taking significantly less energy to operate, and can provide low-energy, high-speed functions.
A study by UC San Diego Health found that sending patients a text message when their doctor is ready can reduce wait times and improve patient satisfaction. The 'telemedicine untethered' option showed a 55-minute time savings in clinic operations, with zero late appointments and increased flexibility for both patients and providers.
A new smartphone app using AI technology has been found to be as accurate as expert gastroenterologists in characterizing stool specimens. The app's ability to provide detailed descriptions of constipation, diarrhea, and normal stools surpasses that of patient reports.
A new app called HOPE, developed at UVA Health, aims to provide vital support to patients battling opioid-use disorder. The app offers a secure way to connect with care providers and an anonymous message board for sharing experiences and building healing relationships.
McGill University researchers found that participants who implemented a nudge-based intervention reduced their screen time by about an hour per day, leading to better sleep quality. The intervention also helped individuals report feeling less addicted to their phones.
A team of scientists has developed a method to extract precious metals like gold and platinum-group metals from electronic waste using the Picasso pigment, Prussian blue. This technique shows promise in improving the recycling of valuable metals from nuclear and electronic wastes.
A new study by Dr. Marin Marinov at Aston University proposes three solutions to make train commuting less stressful: purchasing tickets on smartphones, removing ticket gates and installing sensors, and implementing one-way flow systems in station concourses. These changes could reduce queuing times and promote social distancing.
Researchers at NYU Tandon are developing novel methods to detect and mitigate hardware Trojans in next-generation wireless systems, as well as exploring analog side channels unique to 5G. The projects aim to make current and future wireless infrastructure more resilient to flaws and hacks.
A new study from the Regenstrief Institute examines the effects of clinical texting on hospitalist and nurse communication, highlighting both benefits and challenges. The study suggests that clinical texting can improve communication, but also raises concerns about user buy-in and shared understanding.
A new wearable device can simultaneously monitor glucose, alcohol, and lactate levels, providing users with a comprehensive picture of their health. This technology has the potential to improve disease management for individuals with diabetes and other conditions, as well as enhance overall wellness through real-time tracking.
A new grant will help Missouri parents make informed decisions about vaccinating their children against various diseases. The grant aims to provide factual, evidence-based information to address common concerns and promote public health outcomes.
A recent Dartmouth study using mobile technology compares emotional well-being of college students before and during the pandemic, finding significant differences in mental health and behavior. The research identifies two groups with differing experiences, with one group showing poorer mental health, anxiety, and stress.
Researchers developed an AI algorithm that can detect weak heart pumps in patients using single-lead Apple Watch ECGs. The study found high participation rates and high-quality data from over 46 states and 11 countries, demonstrating the potential for this tool to be widely used.
Researchers at UC San Diego have developed a smartphone app that uses near-infrared camera technology to track pupil size changes, which can indicate cognitive conditions. The app is designed to be user-friendly for older adults and has shown comparable results to traditional pupillometry devices.
Researchers at Einstein Aging Study are investigating how social forces contribute to inequalities in cognitive health, particularly among Black and Hispanic Americans. The new grant will enable the tracking of over 700 Bronx adults with mobile technology to measure cognition directly as they engage in everyday activities.
A study of 619 participants found that reducing smartphone use by one hour daily or complete abstinence for a week led to positive effects on physical activity, life satisfaction, anxiety, and depression. These benefits lasted longer in the reduced-use group, suggesting an optimal daily usage time may exist.
Researchers found that gamification increased daily steps by an average of 647 for postpartum individuals with hypertensive disorders of pregnancy. The study, published in JAMA Cardiology, demonstrates the effectiveness of text-based gamification interventions to improve physical activity among high-risk postpartum women.
A study by the University of Cincinnati suggests that transgender and gender diverse people can benefit from better-designed smartphone apps offering voice and communication training software. The app features identified as most critical include feedback, accountability, automated goal setting, and non-interactive elements like videos ...
Researchers at UCF create brain-like devices that enable AI to function independently, allowing technology like robots and voice assistants to operate in remote areas or space. The devices use parallelism and in-memory computing, similar to the brain, for AI and unsupervised learning.
A new diagnostic kit called Cygnus detects Dengue Fever with improved rates, beating lateral flow testing and matching hospital-based lab diagnostics. The tests also identify the specific virus type causing the infection, offering a potential solution for widespread disease detection.
A study found that selfies significantly distort facial features, making noses appear 6.4% longer on average compared to standard clinical photographs. The distortion also affects the chin and base of the nose, leading to a significant increase in the ratio of nose to chin length.
Scientists have created a quasi-solid-state cathode for solid-state lithium metal batteries, achieving significant reduction in interfacial resistance. The new design uses an ionic liquid to maintain excellent contact with the electrolyte, promising new directions in battery development.
A new smartphone app developed by Scripps Research calculates genetic risk for coronary artery disease and finds that users at high risk are more likely to start using statins or other cholesterol-lowering therapies. The app, called MyGeneRank, uses genetic data from 23andMe and outputs a CAD risk score.
A new type of high-resolution LiDAR chip has been developed by the University of California, Berkeley, which could lead to a new generation of powerful, low-cost 3D sensors. The chip uses a focal plane switch array (FPSA) and achieves a resolution of 16,384 pixels.