Results 81 to 90 of about 140,946 (282)
Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers
Sensors, 2010 The use of on-body wearable sensors is widespread in several academic and industrial domains. Of great interest are their applications in ambulatory monitoring and pervasive computing systems; here, some quantitative analysis of human motion and its ...
Angelo Maria Sabatini, Andrea Mannini
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Advanced Intelligent Systems, EarlyView.A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung +3 more
wiley +1 more source
Artifact Noise Removal Techniques on Seismocardiogram Using Two Tri-Axial Accelerometers
Sensors, 2018 The aim of this study is on the investigation of motion noise removal techniques using two-accelerometer sensor system and various placements of the sensors on gentle movement and walking of the patients.
Loc Luu, Anh Dinh
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Microelectromechanical system gravimeters as a new tool for gravity imaging [PDF]
, 2018 A microelectromechanical system (MEMS) gravimeter has been manufactured with a sensitivity of 40 ppb in an integration time of 1 s. This sensor has been used to measure the Earth tides: the elastic deformation of the globe due to tidal forces.
Bramsiepe, Steven G. +8 more
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Advanced Intelligent Systems, EarlyView.This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang +4 more
wiley +1 more source
A Wavelet-Based Approach to Fall Detection
Sensors, 2015 Falls among older people are a widely documented public health problem. Automatic fall detection has recently gained huge importance because it could allow for the immediate communication of falls to medical assistance. The aim of this work is to present
Luca Palmerini +5 more
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Advanced Intelligent Systems, EarlyView.Natural fliers achieve remarkable aerial performance through diverse wing neuromechanical systems integrating actuation, sensing, and control. This study synthesizes neuromechanical architectures in insects and hummingbirds, identifying two key functional types‐Dual Neural‐Mechanical Oscillator and Neurally‐modulated Mechanical Oscillator‐ and ...
Suyash Agrawal +4 more
wiley +1 more source
Adaptive Data Filtering of Inertial Sensors with Variable Bandwidth
Sensors, 2015 MEMS (micro-electro-mechanical system)-based inertial sensors, i.e., accelerometers and angular rate sensors, are commonly used as a cost-effective solution for the purposes of navigation in a broad spectrum of terrestrial and aerospace applications ...
Mushfiqul Alam, Jan Rohac
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Remote Sensing, 2020 In this paper, remote and in situ techniques to estimate the dynamic response of a building to ambient vibration are reported: data acquired through a real-aperture radar (RAR) interferometer and conventional accelerometers are analyzed.
Rodrigo E. Alva +5 more
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ATS-6 flight accelerometers [PDF]
Five accelerometers mounted near the adapter base of the Titan 3-C launch vehicle and three on the hub of the ATS-F spacecraft provided (1) data for verifying basic spacecraft mode shapes and frequencies during powered flight while attached to the launch
Honeycutt, G., Lindner, F., Mattson, R.
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