Articles tagged with "wearable-sensors"
How the Sleepbuds maker, Ozlo, is building a platform for sleep data
Ozlo, the maker of sleep-focused earbuds known as Sleepbuds, is evolving its product into a broader platform centered on sleep data. Originally founded by former Bose employees, Ozlo has developed an iOS and Android SDK that allows third-party apps to access detailed sleep metrics collected by its devices. These metrics include body movements, respiration rates, temperature, and light levels, which are analyzed by machine learning algorithms to determine sleep or relaxation states. This data-sharing capability enables partners like the meditation app Calm to assess the effectiveness of their content in real time, providing valuable feedback that can improve user experience and content investment decisions. Beyond hardware sales, Ozlo aims to build new revenue streams through software subscriptions and healthcare applications. The company is developing AI-driven features to offer personalized sleep insights and is creating tinnitus therapy tools based on clinical research conducted with Walter Reed Hospital. These therapies, designed to alleviate ear ringing for about 15% of Ozlo’s users, will be available via subscription starting in the second quarter of
IoTsleep-technologywearable-sensorshealth-data-platformmachine-learningsmart-devicesneurotechnologyBlink-powered eye tracker could let paralyzed patients control chairs
Researchers at Qingdao University in China have created a novel, lightweight, and self-powered eye-tracking system aimed at aiding individuals with severe mobility impairments, such as those with Amyotrophic Lateral Sclerosis (ALS). Unlike conventional eye trackers that are often heavy, reliant on external power sources, and ineffective in low-light conditions, this new device harnesses energy generated by the user's blinking through triboelectric nanogenerators. By converting the mechanical energy from eyelid movements into electrical power, the system operates without batteries or external power, maintaining clinical precision with 99% accuracy and the ability to detect eye movements as small as 2 degrees—even in electromagnetically noisy environments. The device's friction-based energy harvesting also serves as a sensitive sensor, enabling it to function effectively in total darkness and without causing eye strain, unlike infrared camera-based trackers. Tested for biocompatibility on rabbit eyes, the system showed no irritation and retained its charge well. Beyond assisting patients with mobility challenges,
energytriboelectric-nanogeneratorsself-powered-deviceseye-tracking-technologyassistive-technologywearable-sensorsenergy-harvestingA guide to choosing the right Apple Watch
The article provides a detailed guide to choosing among Apple’s latest smartwatch models released in 2026: the Apple Watch Series 11, Apple Watch SE 3, and Apple Watch Ultra 3. The Ultra 3, priced at $799, targets a niche market of athletes and high-end users, while most consumers will likely choose between the more affordable Apple Watch SE 3 ($249) and the Series 11 ($399). The SE 3 offers substantial upgrades over its predecessor, including the new S10 chip, an always-on display, fast charging, improved durability, and advanced health features such as a wrist-temperature sensor for enhanced sleep tracking and ovulation insights. This makes the SE 3 a strong value proposition, particularly for first-time buyers and younger users. Both the Series 11 and SE 3 share many core features: they run on the same S10 chip, have always-on Retina displays, support essential health monitoring (heart rate notifications, irregular rhythm alerts, fall and crash
IoTsmartwatcheswearable-technologyhealth-monitoringApple-WatchS10-chipwearable-sensorsA guide to choosing the right Apple Watch
Apple's 2025 smartwatch lineup includes the Apple Watch Series 11, Apple Watch SE 3, and Apple Watch Ultra 3, catering to different user needs and budgets. The Ultra 3, priced at $799, targets high-end users and athletes with advanced features, while most consumers will likely choose between the more affordable SE 3 ($249) and the mid-tier Series 11 ($399). The SE 3 offers significant upgrades over its predecessor, including the new S10 chip, an always-on Retina display, fast charging, improved durability, and enhanced health tracking features like wrist temperature sensing and retrospective ovulation estimates. This makes it a strong value option, especially for first-time buyers and younger users seeking essential smartwatch functions such as step counting and sleep tracking. Both the Series 11 and SE 3 share many core features: they run on the same S10 chip, have always-on displays, support heart health notifications, emergency SOS, fall and crash detection, water resistance up to
IoTwearable-technologysmartwatcheshealth-monitoringApple-WatchS10-chipwearable-sensorsInterview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors - Robohub
In this interview, Zahra Ghorrati, a PhD candidate at Purdue University, discusses her research on developing scalable and adaptive deep learning frameworks for human activity recognition (HAR) using wearable sensors. Her work addresses the challenges posed by noisy, inconsistent, and uncertain data from wearable devices, aiming to create models that are computationally efficient, interpretable, and robust enough for real-world applications outside controlled lab environments. Unlike video-based recognition systems, wearable sensors offer privacy advantages and continuous monitoring capabilities, making them highly suitable for healthcare and long-term activity tracking. Ghorrati’s research has focused on a hierarchical fuzzy deep neural network that adapts to diverse HAR datasets by detecting simpler activities at lower levels and more complex ones at higher levels. By integrating fuzzy logic into deep learning, her model effectively handles uncertainty in sensor data, improving both robustness and interpretability. This approach also maintains low computational costs, enabling real-time recognition on wearable devices. Evaluations on multiple benchmark datasets show that her framework achieves competitive accuracy
robotwearable-sensorshuman-activity-recognitiondeep-learningIoThealthcare-technologysensor-data-analysisIs the Apple Watch SE 3 a good deal?
Apple recently released the Apple Watch Series 11, Apple Watch SE 3, and Apple Watch Ultra 3, targeting different market segments. The Ultra 3, priced at $799, is aimed at high-end users and athletes, while most consumers will likely choose between the Apple Watch SE 3 ($249) and Series 11 ($399). Despite its lower price, the SE 3 offers much of the same software as the Series 11 and includes significant upgrades over its predecessor, the SE 2. Notable improvements in the SE 3 include the new S10 chip, an always-on display, fast charging, enhanced crack resistance, new health features such as a wrist-temperature sensor for advanced sleep tracking and retrospective ovulation insights, making it a strong value proposition, especially for first-time buyers. Both the Series 11 and SE 3 share many features, including the S10 chip, always-on Retina display, heart health notifications, wrist gestures, emergency SOS, fall and crash detection
IoTwearable-technologysmartwatcheshealth-monitoringApple-Watchsleep-trackingwearable-sensorsScientists craft strider-like robots that paddle and walk on water
Researchers at the University of Virginia have developed two insect-inspired soft robots, HydroFlexor and HydroBuckler, that can paddle and walk on water surfaces by mimicking the motions of aquatic insects like water striders. These tiny robots are powered by an overhead infrared heater that causes their layered polymer films to bend and move in response to heat, enabling controlled, repeatable motion including speed adjustment and directional changes. This breakthrough demonstrates the potential for miniature robots to perform tasks such as scouting flooded areas, monitoring pollutants, or collecting samples in environments challenging for humans. A key innovation enabling these robots is a novel fabrication technique called HydroSpread, pioneered by Professor Baoxing Xu. Unlike traditional methods that require transferring delicate films from rigid surfaces, HydroSpread allows ultrathin polymer films to be formed directly on water, providing a perfectly smooth platform and significantly reducing failure rates. This method enhances precision and yield, allowing for more complex and delicate designs in soft robotics. Beyond robotics, HydroSpread holds promise for producing thin,
robotsoft-roboticspolymer-filmsHydroSpreadinsect-inspired-robotsflexible-electronicswearable-sensorsHumanoid robot turns shoe tester after half-marathon victory in China
The humanoid robot Tien Kung, developed by UBTech Robotics and the Beijing Humanoid Robot Innovation Centre, has transitioned from athletic competitions to a novel role as a running shoe tester in China. After making headlines in April 2025 by completing a half-marathon in Beijing in 2 hours and 40 minutes, demonstrating endurance and human-like running capabilities, Tien Kung was recently employed at the Li-Ning Sports Science Research Center to evaluate running shoes. Equipped with sensors on its hips, knees, and ankles, the robot ran on a 3D force treadmill and a 200-meter indoor track to collect detailed biomechanical data on cushioning, rebound, and other performance metrics. This approach offers a level of consistency and precision unattainable with human athletes, potentially accelerating shoe design cycles and reducing costs. Tien Kung stands 1.7 meters tall and features advanced biomimetic design, including 20 degrees of freedom, lidar sensors, Nvidia Jetson Orin computing kits, and dexter
robothumanoid-robotsports-technologybiomechanicswearable-sensorsrobotics-testingproduct-development