Articles tagged with Smartphones
A study by the University of Bonn shows that smartphone-based fundus imaging can detect diabetic retinopathy with high accuracy, even in early stages. The method allows for efficient screening and diagnosis, enabling trained laypersons to examine patients, reducing hospital visits.
Researchers developed a smartphone-based technique to assess hemoglobin levels using spectral super-resolution spectroscopy, eliminating the need for bulky optical components. The new approach uses images of the inner eyelid to detect blood disorders such as anemia and sickle cell anemia
Researchers are developing a smartphone app to diagnose COVID-19 at home using acoustic sensing and AI techniques. The system measures changes in human airway mechanics, which are uniquely correlated to COVID-19 infection.
A study at the University of Jyväskylä reveals that flexible work arrangements can have positive effects on employees, including increased autonomy and reduced conflict. The research found that communication across boundaries can create a functional environment where employees feel supported and understood.
A new study found that smartphones increase the willingness of people to disclose personal information online compared to desktop computers. The researchers suggest that smartphone users' comfort and familiarity with their devices lead to a 'safe zone' effect, making them more willing to open up about themselves.
Researchers developed a self-interference cancellation filter that can accurately cancel distortion caused by radio and channel distortions, reducing computational complexity and increasing speed. The filter has the potential to enable in-band full-duplex communications in small radios such as smartphones.
Researchers at UCI developed TrackCOVID, a free, open-source app for anonymous contact tracing. The app logs interactions and notifies users at risk of exposure through an anonymous graph.
A study by researchers at the University of Washington found that people often misunderstand online status indicators and adjust their behavior accordingly. Over half of participants reported being aware that someone had noticed their status, while over half logged in to check others' statuses.
Carnegie Mellon University researchers have created a method to build accurate 3D reconstructions of faces from smartphone videos, outperforming other camera-based processes with sub-millimeter accuracy. The digital face might be used in gaming, virtual or augmented reality, animation, biometric identification, and medical procedures.
Research from UC Davis found that preschoolers' self-regulation skills are lower when they use screen media devices, which can impact academic success, social functioning, and mental health. The study recommends delaying screen introduction and limiting mobile device use to promote optimal development.
Purdue University researchers have created a novel system that allows multiple players to interact with the same VR game on smartphones, reducing latency and improving user experience. The Coterie system enables 4K-resolution VR on commodity mobile devices and supports up to 10 players in the same application.
A new training program called DOORS helps patients with serious mental illness develop skills to use digital health tools, such as monitoring symptoms and setting wellness goals. The program, developed based on self-determination theory, focuses on three key elements: competence, autonomy, and relatedness.
A smartphone app detecting jaundice in newborns may prevent deaths and disabilities due to its accuracy and low cost. The app uses images captured on a smartphone camera to quantify the yellowness of the eye, similar to expensive hand-held devices.
A new smartphone app, MAESTRO*, can recognize locusts and grasshopper pests through camera images and record GPS locations. The app aims to enable targeted pesticide delivery to prevent swarms from spreading and devastating crops. Researchers gathered over 3,500 locust images to train the system.
A study by University of Birmingham experts reveals that smartphone skin cancer detection apps are unreliable and poorly regulated, with only a small number of studies showing variable and unreliable test accuracy. The researchers call for stricter regulations and better evaluation processes to protect public safety.
A new review in the Canadian Medical Association Journal suggests an association between excessive smartphone and social media use and mental distress among adolescents. The authors provide guidance for physicians, parents, and teachers on how to help teens achieve a healthy balance between device use and other aspects of their lives.
A review of evidence published in The BMJ found that smartphone apps assessing mole risk cannot detect all skin cancers. While AI-powered apps offer potential for earlier detection and treatment, limitations and variable performance indicate insufficient promise to recommend their use.
A pooled analysis of 14 studies found that text messaging was associated with significantly lower rates of looking left and right before crossing, as well as moderately increased rates of collisions and close calls. Listening to music was not linked to any heightened risk of pedestrian behaviours.
A new smartphone camera-based test can identify urinary tract infections in just 25 minutes, potentially making accurate testing more widely available in developing nations. The test uses a smartphone camera and reagents to detect the presence of E. coli bacteria, which is present in 80% of bacterial UTIs.
A new study finds that 80% of medical students experience a low sense of personal achievement, while 17% report high levels of depersonalization. The study's lead author attributes this to the unique stresses and pressures of each year of medical school.
A study by Politecnico di Milano used smartphone accelerometers to detect heart rate and stress levels with high accuracy. The research involved placing the phone on the abdomen for short periods, allowing it to capture signals associated with mechanical cardiac activity.
Researchers at Carnegie Mellon University have developed a system called Video Event Reconstruction and Analysis (VERA) that can accurately locate a shooter based on video recordings from as few as three smartphones. VERA uses machine learning techniques to synchronize video feeds and calculate the position of each camera, with audio p...
UCLouvain's research developed Multipath TCP to support expanding global internet traffic, improving Wi-Fi and mobile network switching. The protocol is used by 800 million iPhones and has won international awards, enhancing connectivity in rural areas and offering a win-win for subscribers and telecom operators.
Researchers at the University of Illinois are developing a smartphone-based diagnostic system that can detect pathogens in less than 30 minutes using a single drop of blood. The system, which will be handheld and cost less than $10, has the potential to provide fast and affordable results for patients in developing countries.
The NUS team developed a portable, easy-to-use, and low-cost device that can detect toxin-producing algae in water within 15 minutes. The system uses a smartphone and generates real-time results, enabling quick and convenient water quality monitoring.
A new study uses smartphone accelerometer data to measure postoperative physical activity and its impact on recovery. The research team found that patients who experienced complications after surgery had significantly lower daily activity compared to those without complications.
A new smartphone app reminder significantly increased medication adherence among heart patients, with 65% correctly taking their pills at 90 days compared to 21% in the control group. The study's results suggest that mobile health technology can be a cost-effective strategy to improve adherence and reduce poor outcomes.
Researchers at RUDN University have developed a method to identify electronic devices using defects in flash memory cells, which are unique to each device. The distribution and nature of these defects can be used to create 'fingerprints' that cannot be faked.
Researchers at the University of Delaware are developing new memory devices that can support neural networks in low-power embedded systems. These advancements aim to improve the lifetime and reliability of IoT devices, which currently struggle with battery power and memory constraints.
University of Utah engineers create a new type of optical lens that is thinner and lighter than conventional lenses, working with night imaging and enabling longer-flying drones and military applications. The lens is made of plastic instead of glass, reducing manufacturing costs.
Researchers at the University of Tokyo have introduced a new method for evaporation cooling using semiconductor quantum wells, reducing waste heat in portable electronics. Devices with this technology may be integrated into smart devices to prevent overheating issues.
The new technology uses machine learning to analyze sound and vibration responses from a smartphone's built-in sensors. It achieved high accuracy in identifying everyday objects in various environments, paving the way for innovative object interaction applications.
A study of over 37,000 users reveals that smartphone typing speeds are decreasing the gap between mobile devices and physical keyboards. Young people aged 10-19 years old can type around 10 words-per-minute faster than their parents' generation.
A new national poll suggests that older adults are hesitant to try virtual health visits due to concerns about technology and quality of care. Despite this, many (64%) would be interested in telehealth options if they became unexpectedly ill while traveling or needed follow-up on previous care.
A new study from the University of Arizona has identified a link between smartphone dependency and symptoms of depression and loneliness. Smartphone dependency predicts higher reports of depressive symptoms and loneliness, rather than the other way around.
The CREDO project combines data from various detectors, including smartphone cameras, to study the impact of cosmic radiation on health and potential relationships between earthquakes and cosmic ray flux. Researchers aim to verify hypotheses about these phenomena.
Researchers at the University of Arizona have developed a simple, portable, and inexpensive method for detecting extremely low levels of norovirus using a smartphone. The device uses microfluidic chips made of paper and counts fluorescent beads to identify the virus particles in water samples.
A new system detects abnormalities in elderly heart rates and temperatures, triggering drone-delivered first aid. The wearable device monitors vital signs wirelessly and quickly alerts caregivers via smartphone notifications.
Researchers discovered over 1,600 vulnerabilities in the Google Play Store's backend systems, exposing personal information and potentially mobile devices. An automated system called SkyWalker has been created to vet these servers and software library systems, helping developers improve app security.
A team of researchers has developed a soft neural implant that can be wirelessly controlled using a smartphone, enabling chronic chemical and optical neuromodulation. The device uses replaceable drug cartridges and powerful low-energy Bluetooth for prolonged periods.
Researchers have developed a miniaturized system that uses low-cost components and smartphones to detect biological viruses. The device is portable, battery-powered and can detect real viruses, holding potential for aid in disease prevention.
A recent study found that university students who used their smartphones for five or more hours a day had a 43% increased risk of obesity. This prolonged cell phone use was associated with decreased physical activity and unhealthy lifestyle habits, including consuming sugary drinks and fast food.
An expert in The BMJ argues that the expansion of the digital GP service, GP at Hand, may worsen primary care for vulnerable patients. Despite its popularity, the service primarily caters to a healthy and affluent population, leaving GPs with complex cases to manage.
A new Northwestern University study found that distinct areas of the brain process short pulses of light to affect sleep, challenging the widely accepted belief that all light information is relayed through one central pathway. The research suggests that acute exposure to light does not interfere with overall circadian rhythms.
Researchers from NUS have invented a new way for wearable devices to interconnect using conductive textiles, allowing for more efficient data transmission and improved privacy. The 'wireless body sensor network' enables devices to transmit signals with 1,000 times stronger signal strength than conventional technologies.
A survey of over 3,400 university students found that one in five reported problematic smartphone use, associated with lower grades, mental health problems, and more sexual partners. Problematic smartphone use was also linked to higher rates of alcohol misuse and ADHD-like symptoms.
A new standardized calibration method allows anyone to use a consumer camera for scientific purposes, including measuring pollution and water quality. The method, called SPECTACLE, was developed by researchers and enables users to upload calibration data from their cameras.
The M2 system integrates various device features, allowing users to share apps with greater access for disabled users and enabling innovative experiences like Wii-like gaming and panoramic video recording. This innovation combines multiple devices without modifying existing unmodified mobile apps.
A new UBC study found that older smartphone users rely more on auto-lock features and prefer using PINs over fingerprints to unlock their phones. The study also revealed gender differences in authentication choices, with men relying more on auto locks as they age.
Jürgen Matzka has proposed a simplified approach to improve the global magnetic field model, reducing costs and equipment needs. The winning idea aims to measure magnetic field strength from satellites and only require one directional component on ground stations.
A Purdue University researcher has developed an app that allows users to easily program robots to perform mundane tasks, such as picking up parts and delivering them. The app uses augmented reality and can be used for household chores, reducing the need for expensive software programmers or mobile robots.
Researchers used social media tools to engage large audiences in a concert, sustaining participation for an average of nine minutes. The Crowd in C app allowed audience members to manipulate sounds and create their own compositions, demonstrating the power of computer science in nontraditional ways.
Researchers at Lancaster University found that existing measures of smartphone use are poorly related to actual usage. The study suggests that high smartphone usage is not linked to anxiety and depression as previously thought, and that scales measuring technology 'addiction' perform poorly in predicting real-world behavior.
Straightening single-molecule conductors leads to greater overlap of conjugated bonds, increasing conductivity. The twist conformation hinders charge transport, whereas flat chains facilitate hopping conduction.
Researchers at Vanderbilt University developed a low-cost, smartphone-based diagnostic system using nanoscale porous silicon to detect various bodily fluids. The system accurately detects proteins in urine and bacteria in water with accuracy comparable to commercial benchtop measurement systems.
A new research collaboration aims to develop detection and monitoring devices for smartphones and wearables, enabling real-time health data collection and improving health outcomes. The partnership will create state-of-the-art personal medical devices that can measure a wide range of biomarkers.
Researchers developed an automated cough analysis technology integrated in a smartphone app, achieving high accuracy (81-97%) in diagnosing asthma, croup, pneumonia, and other respiratory diseases. The tool may enable targeted treatments to begin sooner by removing the need for clinical examinations.
A study by McLean Hospital researchers shows that CBM-I, a way to change mental habits without visiting a therapist, can be effective when combined with CBT in an acute psychiatric setting. The smartphone app version of CBM-I has great promise for individuals with depression, anxiety, and other mental health conditions, offering on-dem...
A QUT study found 68% of drivers willing to use apps blocking texting, web browsing, and email, as long as hands-free calls are permitted. However, only 37% were prepared to block all phone use if it meant sacrificing music functions.
A mindfulness-based smartphone app was found to reduce self-reported daily cigarette consumption and decrease brain reactivity to smoking images in study participants. Those who showed the greatest reduction in cigarette consumption also exhibited decreased brain activity in a region associated with craving.