Results 81 to 90 of about 141,792 (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
doaj +1 more source
AI‐Enhanced Vibrational Capsule for Minimally Invasive Detection of Abnormal Bowel Tissue
Advanced Science, EarlyView.A fully integrated vibration‐assisted capsule is presented for the minimally invasive detection of bowel lesions. The capsule incorporates a wireless sensor and an eccentric motor to probe tissue mechanics in situ. By coupling triaxial vibration signals with AI‐based classification and analytical modeling, the system enables early, non‐visual ...
Xizheng Fang +6 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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Mixed signal approach for rapid prototyping of a compact smart pebble for sediment transport monitoring in river beds [PDF]
, 2005 Low-cost accelerometers and gyro ICs were used to develop a smart sediment particle to study the sediment transport in rivers. With strap-down MEMS, battery, a processing subsystem and memory, this self contained unit captures semiprocessed data for ...
Kularatna, Nihal +2 more
core +2 more sources
Advanced Science, EarlyView.Repeated disuse imprints a molecular memory in skeletal muscle, conferring transcriptional resilience in young adults but exaggerated susceptibility in aged muscle, driven by epigenetic regulation of aerobic metabolism, mitochondrial and NAD+ pathways.
Daniel C. Turner +14 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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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
core +1 more source
A smart headband for multimodal physiological monitoring in human exercises
Advanced Science, EarlyView.A novel smart headband incorporating a thermal‐sensation‐based electronic skin is presented for continuous and accurate multimodal physiological monitoring, including pulse waveforms, total metabolic energy expenditure, heart rate, and forehead temperature, across both static and dynamic daily activities.
Shiqiang Liu +7 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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