Results 51 to 60 of about 11,944 (194)

Using wearable devices to analyze the everyday gait differences between runners and nonrunners

Journal of Intelligent Medicine, EarlyView.
Through the analysis of wearable devices and machine learning, it is found for the first time that the gait of marathon runners is significantly different from that of ordinary people. This shows that long‐term long‐distance running training can optimize the walking mode or help reduce the risk of falling.
Liwen Kong, Shuai Tao, Jie Zhao, Yiyuan Chen, Xiaoya Liu   +4 more
wiley   +1 more source

Videometrics-based Detection of Vibration Linearity in MEMS Gyroscope [PDF]

International Journal of Computational Intelligence Systems, 2011
MEMS gyroscope performs as a sort of sensor to detect angular velocity, with diverse applications in engineering including vehicle and intelligent traffic etc.
Yong Zhou, Haigang Sun, Shiqiao Gao, Shaohua Niu   +3 more
doaj   +1 more source

Preparation of NiO catalyst on FeCrAI substrate using various techniques at higher oxidation process [PDF]

, 2011
The cheap nickel oxide (NiO) is a potential catalyst candidate to replace the expensive available platinum group metals (PGM). However, the current methods to adhere the NiO powder on the metallic substrates are complicated.
Putrasari, Yanuandri
core  

On Temperature Effects in a MEMS Ring Gyroscope

2024 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)
We report on experimental and analytical investigation of temperature effects in a 3.2mm-diameter, 57kHz ring gyroscope equipped with 16 capacitive stress sensors. According to the well-known ~-60ppm/°C temperature dependency of Young’s modulus of silicon, the temperature coefficient of frequency (TCF) is expected to be ~-30ppm/°C.
Hosseini-Pishrobat, Mehran, Erkan, Derin, Tatar, Erdinc   +2 more
openaire   +2 more sources

The Characteristics and Locking Process of Nonlinear MEMS Gyroscopes [PDF]

Micromachines, 2020
With the miniaturization of micro-electro-mechanical system (MEMS) gyroscopes, it is necessary to study their nonlinearity. The phase-frequency characteristics, which affect the start-up time, are crucial for guaranteeing the gyroscopes’ applicability.
Yan Su, Pengfei Xu, Guowei Han, Chaowei Si, Jin Ning, Fuhua Yang   +5 more
openaire   +3 more sources

Faraday–Ramsey Rotation in Ultrathin Alkali Vapor Cells as an Analogy to Atomic‐Beam Systems

Laser &Photonics Reviews, Volume 20, Issue 10, 22 May 2026.
This work demonstrates that ultrathin rubidium vapor cells can emulate atomic‐beam behavior through geometry‐dependent velocity filtering. Employing a spatially separated pump–probe scheme and Faraday–Ramsey rotation, the study reveals coherent atomic dynamics without buffer gas or anti‐relaxation coatings. This approach offers a compact pathway toward
Mark Dikopoltsev, Eliran Talker, Yefim Barash, Noa Mazurski, Uriel Levy   +4 more
wiley   +1 more source

Review of Research Advances in Gyroscopes’ Structural Forms and Processing Technologies Viewed from Performance Indices

Sensors
As typical examples of rotational rate sensors, microelectromechanical system (MEMS) gyroscopes have been widely applied as inertial devices in various fields, including national defense, aerospace, healthcare, etc.
Hang Luo, Hongbin Su, Qiwen Tang, Fazal ul Nisa, Liang He, Tao Zhang, Xiaoyu Liu, Zhen Liu   +7 more
doaj   +1 more source

Low-cost autonomous 3-D monitoring systems for hydraulic engineering environments and applications with limited accuracy requirements [PDF]

, 2010
The details of developing autonomous 3-D motion monitoring systems based on commercial off-the-shelf (COTS) motion sensors for hydraulic environments are discussed. Possible areas of application, are river bed sediment transport monitoring and monitoring
Dwivedi, Ambuj, Hu, Aiguo Patrick, Kularatna, Nihal, Kularatna-Abeywardana, Dulsha, McDowall, James, Melville, Bruce   +5 more
core   +2 more sources

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, Volume 36, Issue 24, 23 March 2026.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Estimating Epipolar Geometry With The Use of a Camera Mounted Orientation Sensor [PDF]

, 2013
Context: Image processing and computer vision are rapidly becoming more and more commonplace, and the amount of information about a scene, such as 3D geometry, that can be obtained from an image, or multiple images of the scene is steadily increasing due
BARBER, ALASTAIR,EDWARD
core