HOLOFIL has been awarded a 20k Euros research grant by the Province of Utrecht grant authorities in the Netherlands, to study the feasibility of a new optical wearable product on which the research is ongoing for a few months now already. HOLOFIL has received this grant for the last 3 years for its various ongoing research projects making it feasible to build some of the world class products in this category by the team. HOLOFIL aims to build an ecosystem of products in visual space in both hardware + 3D software content and has already launched a few hardware + software products if you were not familiar. Check it out today. #grant #innovation #research #optics #product
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I learned about Datwylers’ bio-electrodes and I am curious to learn more about their applications at the CES. Bio-electrodes are devices that use biological materials or processes to generate or modulate electrical signals, and they can create immersive experiences through real-time neurofeedback. Datwyler has developed a product called SoftPulse™, which are soft dry electrodes that can monitor bio-signals for consumer and medical applications. I am interested in seeing how other companies are using bio-electrodes like SoftPulse™ to integrate them with wearable and implantable devices. If you are also attending the CES, please connect with me and share your insights. #bioelectrodes #datwylers #consumer #electronics #innovation
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Ana Luisa Trejos and fellow researchers at Western University develop a kinematic model for wearable tremor suppression gloves to help those suffering from neurological disorders as described in a recent T-RO paper. https://lnkd.in/gfgeidhW Paper title: Comprehensive Kinematic Model of a Tendon-driven Wearable Tremor Suppression Device Authors: Parisa Daemi, Yue Zhou, Michael Naish, Aaron Price, and Ana Luisa Trejos Paper link: https://lnkd.in/gQFbz73y Image caption: Subject’s hand configurations when grasping 3-D printed discs with different diameters. (a) Palmar side view when grasping the ∅20 disk in the neutral position of the wrist joint. (b) Top view when grasping the ∅40 disk in the neutral position of the wrist joint. (c) Top view when grasping the ∅80 disk in the neutral position of the wrist joint. (d) Dorsal side view when grasping the ∅100 disk in the neutral position of the wrist joint. #KinematicModel #ThumbSensors #KineticTheory #TendonDrivenTransmissionSystems #Tendons #Exoskeletons
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Computer scientists at the University have developed a digital screen that will allow you to 'feel' items through your phone. The screen can be deformed using finger pressure to become softened or stiffer in direct response to the force applied by the user. DeformIO is made of silicone and uses pneumatics and resistive sensing to detect pressure. This new invention has the potential to radically change the way people interact with the world in fields as diverse as commerce, communications, medicine, and gaming. Find out more below. ⤵️
Tomorrow's digital screens will be soft and elastic, so you'll ‘feel' items through your phone
bath.ac.uk
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Engineer at AIMonk Labs || Crafting Stable AI Products and Enhancing Software Aesthetics || Enthusiastic about Robotics and Cutting-Edge AI Developments || Sharing the Hottest Trends in Artificial Intelligence.
🚨CVPR 2024 Paper Alert 🚨 ➡️Paper Title: Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera 🌟Few pointers from the paper 🎯In this paper authors have presented a lightweight and affordable motion capture method based on two smartwatches and a head-mounted camera. In contrast to the existing approaches that use six or more expert-level IMU devices, their approach is much more cost-effective and convenient. 🎯Their method can make wearable motion capture accessible to everyone everywhere, enabling 3D full-body motion capture in diverse environments. As a key idea to overcome the extreme sparsity and ambiguities of sensor inputs with different modalities, they integrated 6D head poses obtained from the head-mounted cameras for motion estimation. 🎯To enable capture in expansive indoor and outdoor scenes, they proposed an algorithm to track and update floor level changes to define head poses, coupled with a multi-stage Transformer-based regression module. 🎯They also introduce novel strategies leveraging visual cues of egocentric images to further enhance the motion capture quality while reducing ambiguities. 🎯They have demonstrated the performance of their method on various challenging scenarios, including complex outdoor environments and everyday motions including object interactions and social interactions among multiple individuals. 🏢Organization: Seoul National University 🧙Paper Authors: Jiye Lee, Hanbyul Joo 1️⃣Read the Full Paper here: https://lnkd.in/gWv4Ss6m 2️⃣Project Page: https://lnkd.in/gq7JMYY2 3️⃣Code: https://lnkd.in/gQ7Uub4K 🎥 Be sure to watch the attached Demo Video-Sound on 🔊🔊 Find this Valuable 💎 ? ♻️REPOST and teach your network something new Follow me 👣, Naveen Manwani, for the latest updates on Tech and AI-related news, insightful research papers, and exciting announcements. #CVPR2024
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📃Scientific paper: RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution Abstract: Burst super-resolution (BurstSR) aims at reconstructing a high-resolution (HR) image from a sequence of low-resolution (LR) and noisy images, which is conducive to enhancing the imaging effects of smartphones with limited sensors. The main challenge of BurstSR is to effectively combine the complementary information from input frames, while existing methods still struggle with it. In this paper, we suggest fusing cues frame-by-frame with an efficient and flexible recurrent network. In particular, we emphasize the role of the base-frame and utilize it as a key prompt to guide the knowledge acquisition from other frames in every recurrence. Moreover, we introduce an implicit weighting loss to improve the model's flexibility in facing input frames with variable numbers. Extensive experiments on both synthetic and real-world datasets demonstrate that our method achieves better results than state-of-the-art ones. Codes and pre-trained models are available at https://lnkd.in/eyDVuqNf. ;Comment: 17 pages Discover the rest of the scientific article on es/iode ➡️https://etcse.fr/iwt
RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution
ethicseido.com
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Hi everyone, The International Fovea-Z Biomedical Association's marathon series on "Impact of Wearable Medical Devices in the Modern World" is likely to be a valuable learning experience. Wearable medical devices have revolutionized healthcare by enabling real-time monitoring, remote diagnosis, and personalized treatment. Gaining knowledge in this field can help you understand the transformative potential of wearable medical devices in modern healthcare. Enjoy the series!
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TBioCAS is proud of highlight one of its featured papers for June "A Wearable Real-Time System for Simultaneous Wireless Power and Data Transmission to Cortical Visual Prosthesis". 📝 Authored by: Gian Luca Barbruni, PhD; Francesca Rodino; Paolo Motto Ros; Danilo Demarchi; Diego Ghezzi; Carrara Sandro Volume: 18, Issue: 3, June 2024 In this work, the authors present a complete wearable system including a software for real-time image capturing, processing and digital data transfer; an hardware for high radiofrequency generation and modulation via amplitude shift keying; and a 3-coil inductive link adapt to operate with multiple miniaturised receivers. 🔗 Read more on IEEE Xplore: https://loom.ly/asq-Ips #TBioCAS #Biomedical #CircuitsandSystems #paperhighlight #Visual #prothesis
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🌟 Exciting Innovations in Gesture Recognition 🌟 Gesture recognition technology is transforming how we interact with devices and machines. 💻🤖 Our project delved into the core concepts of gesture recognition, from preprocessing techniques to feature extraction and classification algorithms. 💻 We even had the opportunity to apply our knowledge practically, developing a system that enables control of a virtual mouse and a car using Arduino, Bluetooth, and hand gestures! 🖐️🚗 The potential applications across industries are immense – from gaming and virtual reality to medical devices, gesture recognition is paving the way for more intuitive and accessible technology. As the field continues to advance, fueled by breakthroughs in machine learning and computer vision, we can expect even more accurate and efficient gesture recognition systems in the near future. 💡 Let's embrace the exciting opportunities for innovation and improvement in gesture recognition technology! 💪Here is a short video of what we (Saket Kumar Purwar Harsh Agrawal) made in our college. #GestureRecognition #Innovation #Technology #FutureTech #MachineLearning #ComputerVision
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Imaging being able to wear your smartphone on your wrist, not as a watch, but literally as a flexible band that surrounds around your arm. How about clothes that charge your gadgets just by wearing them? Recently, a collaborative team led by Professor Jin Kon Kim and Dr. Keon-Woo Kim of Pohang University of Science and Technology (POSTECH), Professor Taesung Kim and M.S./Ph.D. student Hyunho Seok of Sungkyunkwan University (SKKU), and Professor Hong Chul Moon of University of Seoul (UOS) has brought a step closer to making this reality. This research work was published in Advanced Materials. https://lnkd.in/gxwRNVvG
Energizing the Future: The Rise of Bendable Storage Materials
https://miningdiscovery.com
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Recorded Healthcare Simulation Webinar: Is Clinical Simulation Moving Into a Post Plastic Era with Wearable Simulators? https://lnkd.in/e9BYQtqM #HealthySimulation #ClinicalSimulation
Is Clinical Simulation Moving Into a Post Plastic Era with Wearable Simulators?
learn.healthysimulation.com
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