They can be manufactured at a low cost with tools commonly available in fabrication labs." "The gloves are soft and thin, making them very comfortable and unobtrusive to wear, even while having 44 embedded sensors. "To our best knowledge, our gloves are the first accurate hand-capturing data gloves based solely on stretch sensors," says Glauser, a lead author of the work and a PhD student at ETH Zurich. The main advantage of their stretch-sensing gloves, say the researchers, is that they do not require a camera-based set-up - or any additional external equipment - and could begin tracking hand poses in real time with only minimal calibration. This annual gathering showcases the world's leading professionals, academics, and creative minds at the forefront of computer graphics and interactive techniques. The research team, including Oliver Glauser, Shihao Wu, Otmar Hilliges, and Olga Sorkine-Hornung of ETH Zurich and Daniele Panozzo of NYU, will demonstrate their innovative glove at SIGGRAPH 2019, held 28 July-1 August in Los Angeles. NET (26) AR (26) Python (25) JavaScript (25) TO DEAL (25) Metashape (25) UI (24) Cyber security (24) Photogrammetry (23) Support (23) Image processing (23) Measuring instrument (21) Next-generation sequencer (21) First principle (20) Image analysis / image inspection (20) GIS (20) 3D model (19) Web development / production (19) Test tool (19) Drone (19) ROS (19) MATLAB (18) Educational robot (18) ToF (17) Deep learning (17) Raspberry Pi (17) Visualization (17) Mech robot (17) programming (17) CAE (17) modeling (16) ア ニ メ ー シ ョ ン (16) 3D printer (15) protocol (15) material (15) Mobile robot (15) Library (15) Education (15) chart (15) Structural analysis (15) Arduino (15) prototype (15) Articles delivered in August 2022 (14) Articles delivered in August 2022 (14) 写真 (14) Malware (14) SLAM (14) Motion capture (14) (I.e.A global team of computer scientists from ETH Zurich and New York University have further advanced this area of research by developing a user-friendly, stretch-sensing data glove to capture real-time, interactive hand poses with much more precision. Manufacturer (Sensor Holdings Limited / Development: StretchSense) WEB siteģD camera (43) VR (43) Machine learning (machine learning) (41) RealSense (39) Analysis tool (38) Statistical analysis (37) SBC (36) Robot arm (36) Depth camera (35) Small SBC (35) Spectrum (32) instrumentation (32) Video / Video (32) simulation (31) AI (29) Robotics (29) IoT (28) Deepearning (28) In-vehicle (26). Gloves for hand motion capture equipped with a high-precision sensor that detects expansion and contraction ■ Click here for product details and inquiries For size, select either Size 1 (S/M) or Size 2 (M/L). ・Gloves will be provided as a pair of left and right *Ultra Sync One module, MoCap Pro Timecode Arm Band, IMU module are not included ・Bluetooth dongle (with MoCap Pro firmware installed) – 8-hour continuous use battery life 【Contents】 – 1x Expansion module for USB connectivity, timecode input, onboard SD card logging, and optional IMU – 1x 16-channel sensing board with built-in battery charging, Bluetooth and StretchSense ASIC High SN ratio (signal-to-noise ratio) requires less training poses, enabling quick calibration. In addition, the material is durable and can be machine washed.įive multi-segment spray sensors can measure hand and finger spread. Comfortable even wearing gloves for a full day. Stretchy fabrics for various hand shapes and sizes have been adopted to improve the fit. Velcro (velcro) on the back of the hand, index finger, metacarpal bone of the little finger, and the back of each fingertip can be attached with an optical marker, and the glove and the optical tracking system can be integrated. It improves the safety of performers and is ideal for prop work and stunt work. Grip rubberized gloves with rubber on the palm. The acquired data will be sent wirelessly to the mobile device that has the dedicated app installed. Improved measurement accuracy, faster and more accurate calibration of each finger movement, and reliable tracking data for hands and fingers. While maintaining a comfortable fit, the multi-segment spray sensor enables complex capture. MoCap Pro SuperSplay GlovesIs a second-generation model that is an improvement on the conventional MoCap Pro Glove. Gloves for hand motion capture and VR/AR applications, sewn with high-precision sensor "Stretch Sensors" that senses expansion and contraction. StretchSense MoCap Pro SuperSplay Gloves"Added. Gloves for hand motion capture with a high-precision sensor that detects expansion and contraction on the Unipos website.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |