Articles tagged with Smartphones
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Researchers at UW developed a wireless wearable earring that monitors earlobe temperature, detecting fever, eating, exercise, and ovulation. The earring's battery life is 28 days, and it can be personalized with fashion designs without affecting accuracy.
Researchers developed a compact facial recognition system that uses metasurfaces to create high-resolution images. The new technology recognized Michelangelo's David with similar accuracy as existing smartphone systems, using significantly less power and space.
A smartphone-based mall walking program combined with physical shopping mall facilities and digital incentive coupons increased daily walking steps. The study found that this innovative approach can motivate people to walk more, promoting a healthier lifestyle.
The study highlights the potential of crowdsourced geospatial data to improve decision-making processes in various industries. Researchers identified seven challenges associated with crowdsourced data, including ensuring quality and accuracy, protecting privacy, and navigating legal issues.
The SLICES research infrastructure, launched by UC3M and IMDEA Networks, provides high-quality experimentation services with emerging technologies like 5G/6G, IoT, NFV, or Cloud Computing. This Spanish node aims to support the scientific community in experimenting with cutting-edge resources.
A new smartphone app called All_Aboard has been developed to aid blind and visually impaired individuals in finding bus stops. The app uses artificial intelligence and camera technology to detect street signs and provide auditory cues, achieving a success rate of 93% compared to Google Maps' 52%.
Researchers at Cornell University have developed a new lithium battery that can charge in under five minutes while maintaining stable performance over extended cycles. The breakthrough could alleviate range anxiety among drivers who worry about electric vehicle charging time.
A recent study by University of Cincinnati Blue Ash students found that individuals with clinically significant levels of OCD are more prone to problematic smartphone use. The research also highlighted the impact of fear of missing out, boredom proneness, and inhibitory anxiety on the relationship between OCD and PSU.
Research found mobile phone users process information faster but are more likely to fall for misinformation compared to personal computers. PC users, however, are more susceptible to phishing attempts, highlighting the importance of device-specific responses.
Multicommunicating can enhance primary tasks and minimize delays when done correctly. Effective management of communication partners' expectations is key to avoiding distractions.
A tiny bacterium, Vibrio natriegens, has been genetically engineered to increase its ability to extract rare earth elements through biosorption, a sustainable method. This breakthrough could improve the efficiency of processing and bring rare earth element mining back to domestic productivity.
A study by Carnegie Mellon University found that using alternative data from smartphones is more effective in improving financial inclusion (23% better) and business profitability (42% better) compared to social media data. This approach can help microloan companies adopt cost-effective solutions and offset potential economic loss.
A study of over 50,000 Korean adolescents found that those using smartphones for more than 4 hours a day had higher rates of stress, thoughts of suicide, and substance use. In contrast, lighter users showed no greater health risks compared to non-users.
Smartphone usage patterns differ substantially between urban and rural populations, with urban users favoring social media platforms like Instagram and Twitter. In contrast, rural users tend to use Facebook and Snapchat, suggesting that environment influences smartphone behavior.
Researchers from RMIT University found that Australians aged 20 to 40 years old take more selfies than teenagers and older Australians. Older participants used their smartphones for functional purposes like capturing information at work, whereas teenage participants preferred taking photos during exciting events or with friends.
A systematic review of 13 randomized clinical trials found that app-based interventions are effective in treating moderate to severe depression. The study's findings support the use of mobile apps as a practical tool for clinical practice.
A recent study published in the Proceedings of the National Academy of Sciences found that AI's deep convolutional neural networks can identify faces but struggle to capture other important information like emotional state and trustworthiness. Brain activity scans revealed a weak correlation between AI's codes and human brain represent...
Researchers found that changes in voice patterns predicted alcohol intoxication with 98% accuracy. The study suggests that smartphones and smart speakers could be used to deliver 'just-in-time interventions' to prevent injuries and deaths from motor vehicle accidents.
A new smartphone app using the APRI+ALBI score increases the safety of liver surgery by providing an individualized risk assessment for patients prior to resection. The score offers a cheaper and less invasive option with comparable predictive power compared to standard preoperative tests.
A study by Nagoya University found that children with a genetic predisposition to autism spectrum disorder (ASD) used screens for longer periods. Children with attention deficit hyperactivity disorder (ADHD) also increased their screen time as they grew older, suggesting a potential link between genetic risk and excessive screen use.
A new study published in the University of East Anglia shows that automated insulin delivery technology can help pregnant women with type 1 diabetes better manage their blood sugars. The technology, known as Hybrid Closed-Loop or Artificial Pancreas, helps to substantially reduce maternal blood sugars throughout pregnancy.
Using anonymized smartphone data, researchers found that police spend more time patrolling non-white neighborhoods, with disparities linked to socioeconomic and crime-driven demand for policing. The study reveals a strong correlation between racial composition of a neighborhood and police presence.
A smartphone attachment developed by UC San Diego engineers can screen for neurological conditions like Alzheimer's disease and traumatic brain injury at low cost, accurately regardless of skin tone. The technology uses far-red light to enhance visibility of the pupil, making it easier to track changes in eye movement.
A study by Medical University of Vienna found that AI algorithms in smartphone applications perform well in diagnosing pigmented skin lesions, but are outperformed by doctors in treatment decisions. The 7-class algorithm showed equivalent diagnostic accuracy to experts, while the ISIC algorithm performed worse.
A new study by Klick Labs reveals that AI technology can screen for Type 2 diabetes using six to 10 seconds of a person's voice, with high accuracy rates. The research used acoustic features to analyze recordings from over 18,000 participants and identified significant vocal variations between individuals with and without the condition.
A pioneering international study led by UOC researchers finds that older people in Spain and Israel use smartphones more than those in Canada and Romania due to access to affordable internet rates. The study contradicts the stereotype that growing older leads to decreased digital technology use.
Researchers at Cornell University have developed a new method to purify rare earth elements using metal-loving microbes. The microbe selectively adsorbs and purifies these elements, eliminating the need for harsh chemicals.
Researchers from Tokyo Tech have developed an organic light-emitting diode (OLED) with a remarkable ultralow turn-on voltage of 1.47V for blue emission. The device uses upconversion mechanism to reduce applied voltage, enabling efficient blue OLED production.
A new study from the University of Georgia found that people generally enjoy conversation over smartphone use, with a significant emotional boost from talking to strangers. In contrast, sitting alone was found to be the least preferred task, even when participants were given a choice.
Neurological soft signs (NSS) can distinguish people with schizophrenia from healthy individuals. Smartphone sensing technology offers a standardized assessment method, reducing subjective rating systems' barriers.
A team led by Dr. Zixiang Xiong at Texas A&M University aims to understand the fundamental limits of learned source coding, a machine learning-based data compression method. They hope to develop more powerful compression methods for efficient use of wireless communication and less energy consumption by mobile devices.
A smartphone intervention app reduced unhealthy alcohol use among university students, with a 10% decrease in weekly drinks and 11% fewer heavy drinking days. The app, available for both Apple and Android smartphones, was effective in promoting healthier drinking habits without requiring significant resources.
Researchers found that texting pedestrians are more likely to fall in response to walkway hazards. Young adults may be more prone to taking risks despite awareness of the danger, suggesting alternative interventions like phone-locking technology could be effective.
Researchers at the University of Washington have developed an underwater 3D-positioning app for smart devices, allowing divers to accurately track each other's locations. The app uses acoustic signals and timestamps to estimate diver distances and locations, improving accuracy with more devices in the network.
A study published in the Journal of the American College of Cardiology found that alerting volunteers can increase bystander CPR and AED use, leading to improved survival rates. The volunteer system increased rates of CPR and defibrillation in out-of-hospital cardiac arrests, giving victims a higher chance of receiving early care.
Research leaders collaborate with organizations and regulators to develop digital tools for Parkinson's clinical trials. The Digital Drug Development Tools initiative accelerates the regulatory endorsement of these tools, enabling more objective and patient-centered measures.
A recent study by Ohio State University found that low to moderate levels of screen time do not negatively impact preschoolers' language, literacy, and math skills. However, high levels of screen use at nighttime were linked to smaller gains in social skills, particularly for those who used more than two hours of media daily.
Researchers at the University of Washington created an app called FeverPhone that uses existing phone sensors and screens to estimate whether people have fevers. The app was tested on 37 patients in an emergency department and showed accuracy comparable to consumer thermometers, with potential for early intervention in viral outbreaks.
A study analyzed emoji and emoticon use in secure clinical texting systems, finding they primarily convey new and interactionally significant information. The results suggest that emoji use may not undermine professionalism as much as initially thought.
Researchers argue that emoji-based language systems can improve communication between patients and physicians, particularly for vulnerable populations such as those with stroke or vocal impairments. The use of emoji can condense surveys and questionnaires, increasing response rates and appealing to patients.
A smartphone app developed by a team of researchers improved midwives' knowledge and skills in Tanzania, leading to better birth preparations for pregnant women. The app showed significant improvements in learning outcomes and home-based value scores, indicating a higher preference for hospital births.
A new framework developed by Carnegie Mellon University researchers significantly reduces consumers' privacy risk while preserving advertisers' utility in mobile location data analysis. The framework uses machine learning to quantify personalized privacy risks and performs personalized data obfuscation.
A low-cost clip attachment uses a smartphone's camera and flash to monitor blood pressure, making it easy and affordable for resource-poor communities. The technology was tested on 24 volunteers and showed comparable results to traditional blood pressure cuffs.
University students' tweets showed a positive correlation between social events and hobbies with subjective well-being, while politics had a negative effect. Negative expressions also increased during the pandemic, negatively impacting students' desire for self-presentation and overall well-being.
Researchers have developed a novel computational approach to design protein-peptide ligand binding complexes that can trigger complex cellular responses. The new biosensors can sense flexible compounds and provide optimal sensing of molecular signals, potentially leading to improved therapeutic applications.
A study of 700 participants found that time outdoors doesn't always reduce smartphone screentime. However, visits to nature reserves or forests saw significant declines in screentime compared to urban locations. Participants who visited wilder areas spent more time disconnected from their smartphones and regained attention.
Researchers found that people produce louder and slower speech with less pitch variation when communicating with AI systems, while clearer speech improves comprehension. The study aims to improve AI's ability to understand human speech and investigate language changes as technology advances.
A video-based smoking cessation program developed by a University of Massachusetts Amherst researcher has helped nearly 40% of HIV-positive smokers in Nepal quit tobacco. The program, which includes 11 video sessions and is accessible via smartphone app, was found to be highly effective in promoting abstinence among participants.
Emotion dysregulation and fear of missing out (FoMO) contribute to problematic smartphone use among young people. Difficulty in controlling impulses and emotional clarity increase FoMO levels.
Researchers from the ARC Centre of Excellence in Exciton Science have demonstrated a new chip-scale approach using OLEDs to image magnetic fields, offering a potential solution for portable quantum sensing. This technique enables small, flexible, and mass-producible sensing without requiring input from a laser or cryogenic temperatures.
Researchers at Princeton University developed a new device called mmWall that can steer millimeter-wave (mmWave) signals to reach all corners of a large room. The device uses an accordion-like array of panels to reflect and refract radio waves, allowing for efficient beam steering and alignment with transmitters and receivers.
Researchers have found that commercially available smartphones and smartwatches can capture key features of early, untreated Parkinson's disease. These technologies could provide more objective and continuous ways to measure the disease, bringing new treatments to market faster for patients in the early stages.
The WVU SMARTER center aims to improve mobility in rural areas through self-driving cars, ride-sharing services, and bike sharing. The center will develop infrastructure and technology barriers to ensure accessibility for all people.
A new AI stop smoking app, Quit Sense, detected triggers and provided support to help smokers manage urges to smoke in specific locations. The study found that four times more people who used the app quit smoking six months later compared to those only offered online NHS support.
A randomized clinical trial found that using smartphone apps for home monitoring after oncologic surgery leads to improved quality of recovery and equal patient satisfaction. The study compared this approach with conventional in-person follow-up, revealing no significant differences in these outcomes.
A study of high school students in Brazil found that excessive smartphone use is associated with thoracic spine pain (TSP), affecting girls more than boys. The research highlights the importance of health education programs to combat this issue and promote physical activity and good posture.
A recent study published in PLOS ONE found that smartphone plant identification apps are not accurate enough to rely on when it comes to identifying toxic plants. The researchers developed a repeatable scoring system to assess the accuracy of these apps and found them to be unreliable for this purpose.
Researchers at Argonne National Laboratory have discovered ultrasmall swirling magnetic vortices, known as merons and skyrmions, in an iron-containing material. These tiny magnetic structures show promise for future computer memory storage and high-efficiency microelectronics due to their stability and adaptability to binary code.
Researchers at the University of São Paulo developed a kraft paper-based electrochemical sensor that can detect traces of pesticides in fruit and vegetables in real time. The device resembles a glucometer and has been shown to be highly sensitive, fast, and inexpensive.
Researchers at the University of Washington developed GlucoScreen, a new system that leverages smartphone capacitive touch sensing to measure blood glucose levels. The system's accuracy is comparable to standard glucometer testing, making it potentially less costly and more accessible for widespread screening.