Onset of Bronchodilation and Finger Tremor Induced by Salmeterol and Salbutamol in Asthmatic Patients by Jan Lötvall, Helen Lunde, Nils Svedmyr

“…Lung function was measured using forced expiratory volume in 1 s (FEV), and tremor was measured using a linear accelerometer. With salbutamol there was rapid bronchodilation, both doses producing more than 15% improvement in mean FEV1 within 2 mins of inhalation. …”
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Smartphone System for Heart Rate and Breathing Rate Estimation by Amit Nayak, Miodrag Bolic

“…We collected 3-axis accelerometer, gyroscope, and magnetometer signals and performed sensor fusion to extract a user’s breathing signal and breathing rate. …”
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Two‐Line Elements Based Thermospheric Mass Density Specification From Parameter Optimization of a Physics‐Based Model by Dexin Ren, Jiuhou Lei

“…The resulting mass density is validated against accelerometer‐derived mass density from different satellites. …”
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Deep learning-based system for prediction of work at height in construction site by Ibrahim Karatas

“…In this investigation, the objective is to forecast if a laborer is operating at an elevated position by utilizing an accelerometer, gyroscope, and pressure information through the application of deep-learning techniques. …”
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Human Falling Recognition Based on Movement Energy Expenditure Feature by Daohua Pan, Hongwei Liu

“…In order not to affect the normal life behavior of the elderly, to make full use of the functions provided by the smartphone, to reduce the inconvenience caused by wearing sensor devices, and to reduce the cost of monitoring systems, the accelerometer and gyroscope integrated inside the smartphone are employed to collect the behavioral data of the elderly in their daily lives, and the threshold analysis method is used to study the human falling behavior recognition. …”
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Multiple imputation to deal with missing objectively-measured physical activity data: findings from two cohorts by Rafaela Costa Martins, Bruna Gonçalves C. da Silva, Cauane Blumenberg, Luiza Isnardi Ricardo, Shana Ginar da Silva, João Pedro Ribeiro, Alicia Matijasevich, Ana Maria Baptista Menezes, Helen Gonçalves, Fernando César Wehrmeister, Iná dos Santos, Inácio Crochemore-Silva, Aluísio JD Barros

“…It provides a set of relevant variables to be used in order to efficiently predict accelerometer data. …”
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A Novel Inertial-Aided Star Pattern Matching Method for Distributed Multiple FoVs by Rong Wang, Yuxuan Cao, Jianye Liu, Zhi Xiong

“…Finally, in a simulation, the dynamic establishment of the part catalog improves the efficiency of star pattern matching by reducing the catalog scale, and the usability of inertial-aided star pattern matching is analyzed for different gyro and accelerometer precisions.…”
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Measuring the Acceleration of a Rigid Body by Peter G. Martin, Gregory W. Hall, Jeff R. Crandall, Walter D. Pilkey

“…One of the clusters consists of the three accelerometers attached to a cube-shaped triaxial angular rate sensor (ARS). …”
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A Few-Shot Learning-Based Material Recognition Scheme Using Smartphones by Yeonju Kim, Jeonghyeon Yoon, Seungku Kim

“…The existing research on material and object recognition using smartphone vibrations and accelerometers often requires vast amounts of training data for deep learning-based models, making it challenging to apply to real-world applications. …”
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Secure and Privacy Enhanced Gait Authentication on Smart Phone by Thang Hoang, Deokjai Choi

“…Gait signals are acquired by using an inertial sensor named accelerometer in the mobile device and error correcting codes are adopted to deal with the natural variation of gait measurements. …”
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Acute effects of different types of stretching exercises on explosive power: A pilot study by Sinan Seyhan, Emirkan Çelik

“…For the kick acceleration test (KAT), an accelerometer was used by attaching it to the ankle of the participants with the help of a smart phone and a smart watch. …”
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A Global Thermospheric Density Prediction Framework Based on a Deep Evidential Method by Yiran Wang, Xiaoli Bai

“…Through the deep evidential method, we assimilate data from various sources including solar and geomagnetic conditions, accelerometer‐derived density data, and empirical models including the Jacchia‐Bowman model (JB‐2008) and the Naval Research Laboratory Mass Spectrometer and Incoherent Scatter Radar Extended (NRLMSISE‐00) model. …”
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Recognition of Transportation State by Smartphone Sensors Using Deep Bi-LSTM Neural Network by Hong Zhao, Chunning Hou, Hala Alrobassy, Xiangyan Zeng

“…Meanwhile, the data captured by the accelerometer and gyroscope sensors of smartphone is used to test and adjust the deep Bi-LSTM neural network model, making it easy to transfer the model into smartphones and conduct real-time recognition. …”
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Wearable Voice Dosimetry System by Marcos Llorente, Adam Podhorski, Secundino Fernandez

“…A wearable voice monitoring system, based on an accelerometer to ensure the message, can overcome these limitations. …”
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An extensive bibliometric analysis of pavement deterioration detection using sensors and machine learning: Trends, innovations, and future directions by Mehmet Rizelioğlu

“…This study serves as a valuable resource for both academic and industry researchers, offering insights into road pavement monitoring and guiding future research. In addition, accelerometer and GPS were the most used sensors, ANN and CNN were the most preferred algorithms, and cracks and potholes were the most studied topics. …”
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Effect of Toileting Behavior on Daytime Non-sedentary Behavior in Nursing Home Residents by Yuri Nakano, Satoshi Kubota, Takuya Furudate

“…The physical activity of participants was measured with an accelerometer, and estimated metabolic equivalents, duration, and amount of physical activity were calculated. …”
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Artificial Intelligence-Based Real-Time Signal Sample and Analysis of Multiperson Dragon Boat Race in Complex Networks by Yu Li, Peihua Liu

“…In this paper, we use the wearable device with a triaxial accelerometer and heart rate sensor builtin to sample the speed signals and heart rate signals of athletes in various stages of men’s 1000m straight race. …”
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Vibration dataset of main journal bearings in internal combustion engines under diverse climatic and varying operating conditionsMendeley Data by Muhammad Noman Riaz, Amir Hamza, Hamid Jabbar, Manzar Abbas, Mohsin Islam Tiwana

“…The dataset includes vibration signatures from both healthy and faulty main journal bearings of an internal combustion engine, captured with a tri-axial accelerometer mounted on the bearings' housing. The engine was exposed to various climatic and operating conditions, including variations in temperature and humidity, and tested at different engine rotation speeds, following a standard, MIL-STD-810G. …”
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Effect of Pitch Angle on Structural and Aerodynamic Characteristics of Vertical-Axis Wind Turbines (VAWTs) Using Leading-Edge Protuberance Blades by Karthikvel Elangovan, S. Nadaraja Pillai

“…A series of experiments were performed on VAWTs with straight and LEP blades for a wide range of wind velocity (6 m/s to 20 m/s) and pitch angles (−20° to 20°), and the structural excitations on the VAWT structure were measured using a triaxial accelerometer in each case. The raw acceleration data were extensively processed in the time and frequency domains to identify the variation in structural excitation caused by the unsteady wind and aerodynamic loads on the VAWT structure. …”
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Actigraphic Recording of Manic Symptoms Induced by Methylphenidate by Tuuli Lahti, Sami Leppämäki, Pekka Tani, Timo Partonen

“…One of our patients experienced manic episode after starting methylphenidate. A wrist-worn accelerometer recording demonstrated a decrease in the duration and quality of sleep. …”
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