Results 201 to 210 of about 28,852 (260)

Quantifying Trunk Impact Dynamics and Workload with Inertial Sensors in Goalball Players. [PDF]

Sports (Basel)
Comeras-Chueca C, Bascuas PJ, Berzosa C, Piedrafita E, Rabal-Pelay J, Gutiérrez H, Bataller-Cervero AV.   +6 more
europepmc   +1 more source

Overcoming Printing and Interfacial Challenges in Liquid Metal Direct Writing for Integrated Stretchable Electronics

Advanced Materials Technologies, EarlyView.
Liquid metal direct writing is advanced from a technological and fundamental point. Utilizing a kinematic bed, printing on large surfaces with irregularities is enabled. Furthermore, a pressure‐driven flow during printing is discovered that affects the thickness of traces.
Maximilian Krack, Lennert Purnal, Parth Vinayakrao Sewlikar, Sam Cuyvers, Gus Geurts, Rathul Nengminza Sangma, Derese Desta, Dieter Reenaers, Bart Ruttens, Iris De Graeve, Tom Hauffman, Seppe Terryn, Bram Vanderborght, Michaël Daenen, Wim Deferme, Monika Rai   +15 more
wiley   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

A method for blood pressure hydrostatic pressure correction using wearable inertial sensors and deep learning. [PDF]

NPJ Biosens
Colburn DAM, Chern TL, Guo VE, Salamat KA, Pugliese DN, Bradley CK, Shimbo D, Sia SK.   +7 more
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

A Fusion Localization System for Security Robots Based on Millimeter Wave Radar and Inertial Sensors. [PDF]

Sensors (Basel)
Zheng R, Sun G, Li FD.
europepmc   +1 more source

Identifying Infant Body Position from Inertial Sensors with Machine Learning: Which Parameters Matter? [PDF]

Sensors (Basel)
Duda-Goławska J, Rogowski A, Laudańska Z, Żygierewicz J, Tomalski P.   +4 more
europepmc   +1 more source

Center of Mass Estimation During Single-Leg Standing Using a Force Platform and Inertial Sensors. [PDF]

Sensors (Basel)
Takahashi R, Sonobe M.
europepmc   +1 more source

Modeling and Simulation of Eddy Current Dissipation Magnetic Acceleration Noise of Space Inertial Sensors. [PDF]

Sensors (Basel)
Li P, Sun Z, Gao W, Cao B, Li Y, Li L, Wang L.   +6 more
europepmc   +1 more source

Quantifying Hand Motion Complexity in Simulated Sailing Using Inertial Sensors. [PDF]

Sensors (Basel)
Sarai G, Jayaraman PP, Wickramasinghe N, Tirosh O.   +3 more
europepmc   +1 more source