Articles tagged with Smartphones
The MagTrack study successfully completed a collaboration between Georgia Tech and Brooks Rehabilitation, creating a user-ready version of the assistive technology. Participants showed improved performance in controlling their power wheelchairs and connected devices with ease and comfort.
A review of invasive alien species reporting apps for citizen science identified key features and areas for improvement. The study emphasizes the importance of user-friendly apps with gamification, AI-powered photo identification, and coordination among developers to enhance public participation and data management.
A team of biomedical engineers from Purdue University developed a new anticounterfeiting technology using cyberphysical watermarks that can be read by smartphones. The technology uses edible silk and FDA-approved food dye to create a hidden digital key on medications, allowing patients to confirm authenticity and dose information.
Researchers at Chalmers University of Technology have developed a method to produce micro-supercapacitors, which can increase battery lifespan and enable fast charging. The new production process is scalable and could lead to significant environmental benefits by reducing battery recycling needs.
A study published in Obesity found that telemedicine can mitigate barriers to obesity care, including limited access to specialized care and high costs. Virtual interactions between patients and healthcare providers may be more cost-effective and lead to better weight loss outcomes.
Researchers found that smartphone app usage patterns can be used to identify individuals with over 30% accuracy. The study analyzed data from 780 people and showed consistent patterns in application usage behaviors on a day-to-day basis. This highlights the potential risks to privacy when using apps automatically collected by smartphones.
Researchers developed a new method using smartphone vibration motor and camera to monitor blood clots, with accuracy similar to commercially available techniques. The device can be used at home, making it easier for patients to test their PT/INR levels, potentially reducing the need for frequent clinical visits.
A new poll found that less than half of people aged 50-80 have ever used a health-related app, with those in poor health and lower incomes being even less likely. Only 28% of current users share information with healthcare providers, highlighting the potential for apps to support health behaviors and improve outcomes.
Researchers have designed a tiny and flat antenna for receiving and transmitting terahertz signals, enabling the miniaturization of THz devices. The new design integrates the antenna with the system, eliminating the need for bulky silicon lenses and reducing optical power required.
A recent study found that using personal assistant applications on smartphones can significantly improve memory in older adults with dementia. The researchers trained participants to use the technology to receive reminders about daily events and activities, resulting in improved memory performance.
A new technique uses compression to reduce data transmission size, allowing for efficient federated learning on wireless devices. The approach has been shown to condense data packets by up to 99%, making it suitable for areas with limited bandwidth.
A study by Michigan Medicine reveals that 25% of young American men experience both delivering and receiving technology-facilitated abuse. Healthcare providers should consider addressing this issue, as men who have mental health care visits are more likely to be involved in abusive relationships.
A new software uses pose estimation to track human motion with high accuracy, providing an objective assessment of motor function. The technology has the potential to revolutionize neurological care by enabling patients to record video that can be analyzed by their physicians remotely.
A team of NTU Singapore scientists has developed a predictive computer programme using wearable technology data to detect depression risk. The programme, Ycogni model, achieves an accuracy of 80% in detecting individuals at high or low risk of depression.
A Bar-Ilan University study found that participants remembered large images 1.5 times more than small ones, regardless of detail or resolution. This phenomenon may affect screen quality and learning on smartphones, suggesting larger screens could be better for studying.
A Swansea law expert has been awarded €1.5 million to study the impact of deepfakes on public perceptions of user-generated evidence in human rights trials. The project, TRUE, will track changes in trust over time and develop a systematic account of its role in accountability processes.
A study of nearly 20,000 adults found that serious COVID-19 vaccine side effects are extremely rare among those who received vaccination. The online survey collected data on health and COVID-19-related events for daily, weekly, and monthly periods.
A survey study found links between problematic smartphone use and low sense of control, fear of missing out (FOMO), and repetitive negative thinking during the COVID-19 pandemic. The study suggests that physical activity and mindfulness practices may help reduce such use.
A Texas A&M University study suggests that ergonomic interventions can reduce pain from technology use, particularly among college students. The researchers found that posture and stress are key factors in pain reporting, rather than device type.
Researchers have developed a new metalenses technology that enables filter-free color image sensors with enhanced signal levels. This innovation could improve low-light and fast imaging capabilities for smartphones and autonomous vehicles, leading to better night view capture and high-speed object detection.
A recent study from Tel Aviv University found that mothers' smartphone use reduces toddler interaction by a factor of four. Reduced interaction can have far-reaching consequences on child development, including language and social skills. The study also found no significant difference between browsing smartphones and reading magazines.
A Curtin University study found that mobile devices helped families strengthen relationships and bond over online activities, such as video calls and games. However, some participants reported devices as a source of distraction, disrupting family interactions.
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.
A new smartphone application, iCanQuit, has been shown to be more effective in helping Black US adults quit smoking and remain abstinent. The app uses acceptance and commitment therapy (ACT) to help users manage cravings and stay motivated.
A Dartmouth study uses mobile sensing to predict individual job performance based on commute data, revealing the link between work commute and job quality. The research also shows how data from personal tech devices can help improve employee productivity and satisfaction.
A new study shows that older adults with mild dementia can improve their daily task completion using digital voice recorder apps and reminder apps. Greater usage of these apps is associated with better memory and greater improvements in activities of daily living.
The Mountain Rain or Snow project collects observations of rain, snow, and mixed precipitation from across mountainous regions. Volunteers can submit their own reports via smartphone or computer to improve satellite monitoring and model predictions, leading to better weather forecasts, skiing conditions, and avalanche risk assessments.
A peer-reviewed study published in Life journal proves Reflex identifies biomarkers for concussions, enabling accurate clinical diagnosis and decision-making. The study, conducted by Purdue University, uses pupillary light reflex to measure concussion patients' recovery and prevent compounding injuries.
A new smartphone app, MyHealthyPregnancy, evaluates preeclampsia risk and patient adherence to low-dose aspirin recommendations. The study found that 37% of high-risk patients were unaware they needed to take the medication, highlighting a need for improved communication between providers and patients.
A new rapid screening test for glaucoma uses infra-red sensors to monitor eye movement, providing accurate results within seconds. The test could help advance early detection of the disease, a leading cause of irreversible blindness, and make it more accessible for national screening programs.
A new 'smart bandage' has been developed to track wound moisture levels wirelessly, enabling doctors to monitor wounds without removing the bandage. The technology could help improve wound healing rates by detecting optimal moisture levels, reducing the risk of disruption to the healing process.
Researchers developed a program to target vaccinations using digital contact tracing technology, which can almost halve the number of vaccines required to bring the pandemic under control. The new program prioritizes individuals with the most contacts for vaccinations while keeping personal data private.
Researchers developed PocketView, a display technology that shows basic information like notifications and time through fabrics, offering versatility and ease of use. The technology is relatively inexpensive and can be incorporated into existing devices, making it a potential game-changer in wearable tech.
A new smartphone-based app, iBehavior, will be tested to improve the accuracy of data in clinical trials involving individuals with intellectual disability. The app uses ecological momentary assessment to track symptoms related to executive function, often associated with ADHD.
Researchers led by Stevens Institute of Technology's Sang Won Bae developed a machine-learning model using smartphone data to detect cannabis intoxication in young adults. The study combined features such as GPS, noise, light, and activity levels to predict intoxication with high accuracy. This technology has the potential to provide e...
Researchers create a novel framework for generating and detecting Lamb waves in transparent materials without damaging the sample. They use laser-induced plasma shock waves and high-speed polarization cameras to spot microscopic scratches, demonstrating potential for non-contact damage detection.
The living retina achieves sensitivity and efficiency that human engineers can only dream about, with optimized mosaics of different sensitivities parsing 40 visual features. The retinas adapt to current conditions and conserve energy by tuning out noise, making them orders of magnitude less power-hungry than smartphone sensors.
Researchers develop a new method to perform logic operations more efficiently and reliably using magnonics. Nanostructured antiferromagnetic wires are well-suited for this purpose, enabling quick and low-energy computation.
Mathematical modeling suggests that contact-tracing apps can help achieve herd immunity by identifying individuals with greater exposure to others and targeting them for vaccination. The approach, known as 'hot-spotting,' could reduce the number of vaccine doses needed by up to half.
A study of 200 heart attack survivors who used a smartphone app showed that they had a 52% lower risk of hospital readmission within 30 days. The app, which tracked medication use and lifestyle changes, also motivated users to improve their quality of life.
A new augmented reality app, Phobys, has been developed to help people reduce their fear of spiders through exposure therapy. The app uses a realistic 3D spider model projected into the real world and offers nine levels of training, with game elements to maintain motivation.
A study compared four voice assistants - Alexa, Siri, Google Assistant, and Cortana - to assess their accuracy in providing information on cancer screening. The top three assistants provided consistent information with USPSTF guidelines roughly 70% of the time.
Top-performing diet and nutrition apps often track dietary intake, anthropometrics, and physical activity but lack behavior change features. A new study in the Journal of Nutrition Education and Behavior found that premium versions offered more features than free ones, but these did not significantly impact app ratings or user engagement.
Researchers at Goethe University Frankfurt and Bonn have synthesized molecular nano spheres made of silicon atoms, known as silafulleranes, which can encapsulate chloride ions. The discovery of these new compounds may lead to improved applications in electronics, solar cells, and batteries.
Researchers confirm FDA recommendation that patients keep consumer electronics, such as cell phones and smart watches, six inches away from implanted medical devices. Studies found that these devices can trigger magnet mode in pacemakers and defibrillators, posing a risk to patient safety.
A systematic review of online interventions found that exergames and smartphone apps increased physical activity levels and improved emotional states among young people. The study suggests a positive impact on mental health and social development through digital mediums.
New research published in PNAS suggests that community-based monitoring can improve water management in rural Costa Rica by reducing groundwater extraction and improving water quality. The program, which used a smartphone application and WhatsApp, showed modest but significant effects after one year.
Researchers at UC San Diego developed a system that splits a single millimeter wave beam into multiple paths to improve reliability and throughput. The technology achieved high speeds of up to 800 Mbps with 100% reliability, even in outdoor tests over distances of 262 feet.
Researchers at Tokyo Institute of Technology developed a tunable neural network framework that achieves high accuracy and efficiency for sparse CNNs. The new architecture employs a Cartesian-product MAC array and pipelined activation aligners to enable dense computing of sparse convolution, resulting in better resource utilization.
A recent study published in Biosystems Engineering explores the potential of smartphone cameras to assess soil organic matter and evaluate soil fertility. The technique uses advanced image analysis and machine learning to predict SOM values rapidly and with high correlation to traditional soil analysis.
A research team developed a novel sensor that can detect and convert infrared light into electrical signals at temperatures up to 100°C. The device eliminates the need for cooling devices, reducing production costs and operating speeds, making it suitable for smartphone and autonomous vehicle applications.
Researchers at the University of Waterloo found that people who experience intense boredom frequently in everyday life may seek 'flow' by playing smartphone games to escape their feelings. This 'boredom fix' can lead to negative consequences and excessive gaming, ultimately increasing depression.
A new study published in PLOS ONE suggests that smartphone photos of the inner eyelid can be used to screen for anemia. The algorithm achieved accuracy rates of up to 94.4% in predicting anemia, making it a potential tool for early diagnosis and treatment in low-resource settings.
A new system, dubbed Easy Secure Photos (ESP), encrypts photos uploaded to cloud services, protecting them from attackers and the cloud services themselves. Users can visually browse and display encrypted images as if they weren't encrypted.
According to a recent paper in Nature Human Behaviour, smart technology is not dumbing us down. Instead, it's augmenting human cognitive abilities, allowing us to excel in complex tasks. By leveraging tools like GPS and computers, we can free up brain energy to think creatively.
Research found smartphone apps and telehealth initiatives improve healthcare systems and patients' quality of life in relation to pain management. User involvement is vital for app development and acceptability.
A field experiment involving 100 students showed that soft smartphone bans can increase efficiency for standard routine tasks, but have no notable impact on more complex tasks. The success of soft bans also depends on employees' perceptions of social norms and freedom of choice.
A study of over 53,000 Korean adolescents found that moderate smartphone use is associated with unhealthy eating behaviors, including a higher intake of junk food and fewer fruits and vegetables. Teens who spent more than 3 hours per day on their phone were significantly more likely to be overweight or obese.
A new smartphone app developed by Cornell University engineers can predict grape yields up to 24% more accurately than traditional methods. The app uses computer-vision technology to analyze video footage of grape vines, allowing farmers to secure labor and equipment in advance and reduce profits.
Shanjiang Zhu is developing an Android version of the InfraHub smartphone app to report bicycle and pedestrian facility issues. The project also includes social media outreach to encourage users to report facility issues.