Articles tagged with Wearable Devices
Researchers found that actors' brain activity suppressed when hearing their own name during performance, indicating potential impact of theatre training on human brain. The study also investigated interpersonal coordination between actors and found specific brain systems involved in social interactions.
Researchers developed an AI model that uses daily step counts to predict the likelihood of unplanned hospitalization during cancer therapy, offering personalized care and potential prevention of treatment interruptions. The model was tested on data from wearable consumer devices and showed strong predictive performance.
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 team co-led by CityU developed a wearable electrotactile rendering system that can mimic the sensation of touch with high spatial resolution and a rapid response rate. The device has various application potential, including enhancing VR/AR experiences and facilitating work in thick gloves.
A study published in Body Image found that social media use is associated with lower appearance satisfaction. Engaging with content from friends and family was found to have a significantly stronger negative impact on appearance satisfaction compared to celebrities or influencers.
Researchers at UT Austin developed a semicrystalline polymer that combines strength and flexibility, overcoming challenges of mixed materials in robotics and electronics. The new material is 10 times as tough as natural rubber and can be controlled with light.
Researchers have created a wearable insect repellent by encapsulating IR3535 in biodegradable polymer and shaping it into a ring or bracelet. The repellent continuously evaporates, forming a barrier for insects, offering several hours of protection.
Taking more than 8,200 steps per day may protect against obesity, sleep apnea, and other conditions. The study analyzed data from over 6,000 participants and found that increasing daily steps can reduce the risk of chronic diseases.
Robotic exoskeletons have been shown to provide intensive high-quality rehabilitation and potentially improve functional outcomes in individuals with MS. However, experts agree that wide acceptance depends on further clinical studies aimed at determining optimal selection criteria and long-term outcomes.
Scientists at Shinshu University created an ultrathin fiber-mesh thermistor that improves the performance of wearable medical sensors. The new technology provides overheat protection, gas-permeability, and transparency, making it suitable for on-skin or implantable devices.
A recent clinical trial published in Circulation found that Fitbit wearable devices can identify patients with undiagnosed atrial fibrillation, a condition that can lead to strokes. The study, led by Massachusetts General Hospital, used a novel algorithm to detect irregular heart rhythms based on Fitbit sensors.
Imperial College London researchers have developed a new low-cost sensor thread called PECOTEX that can be embedded into clothing to monitor vital signs. The sensors, which cost $0.15 to produce, can track breathing, heart rate, and gases like ammonia, potentially leading to diagnosis and monitoring of disease.
A new wearable device study, DETECT, found that sensor data significantly improves seven-day average predictions for COVID-19 infection by 32.9% in California and 12.2% nationwide. The study tracked physiological changes before symptom onset, providing a valuable tool for predicting viral threats.
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 have developed a novel pressure sensor using paper as the medium, achieving high sensitivity and detecting a broad range of pressures. The sensor's structure and multilayering enable conductive properties, making it suitable for flexible and wearable electronic devices in healthcare and other industries.
A multidisciplinary team at UC San Diego received NSF funding to create a system that remotely monitors patient posture, movement, and physical therapy treatments using wearable technology and machine learning. The goal is to enable personalized physical therapy treatments and improve health outcomes.
A wearable translator is being developed by ONR to provide real-time language translation for the military and civilians. The device will be able to understand context and generate appropriate translations, benefiting various professionals such as airport personnel and tourists.
A new sign language called thumbcode allows users to type 30 words per minute, compared to 60 words per minute for touch typists. The device-independent language uses hand positions to represent characters and can be used with gloves or video cameras.