Recognizing human activities from smartphone sensors using hierarchical continuous hidden Markov models by Charissa Ann Ronao, Sung-Bae Cho

“…We analyze the behavior of the accelerometer and gyroscope signals for each activity through graphs, and with added fine tuning of states and training iterations, the proposed method is able to achieve an overall accuracy of up to 93.18%, which is the best performance among the state-of-the-art classifiers for the problem at hand.…”
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Screw Performance Degradation Assessment Based on Quantum Genetic Algorithm and Dynamic Fuzzy Neural Network by Xiaochen Zhang, Hongli Gao, Haifeng Huang

“…Two Kistler 8704B100M1 accelerometers and a Kistler 8765A250M5 three-way accelerometer are installed to monitor the degradation trend of screw performance. …”
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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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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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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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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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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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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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Nonlinear vibration analysis of cantilever beams: Analytical, numerical and experimental perspectives by Qamar Abbas, Rab Nawaz, Haseeb Yaqoob, Hafiz Muhammad Ali, Muhammad Musaddiq Jamil

“…Experimental results closely matched MATLAB simulations, with an average percentage error of 1.44%, but showed a 14.44% deviation from analytical results due to neglected accelerometer mass. Findings highlight the importance of precise modeling, accounting for factors like damping and mass effects, to achieve accurate results. …”
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Integrating Wearable Sensor Signal Processing with Unsupervised Learning Methods for Tremor Classification in Parkinson’s Disease by Serena Dattola, Augusto Ielo, Angelo Quartarone, Maria Cristina De Cola

“…We analyzed 25 resting tremor signals from 24 participants (13 PD patients and 11 controls), focusing on motion intensities derived from accelerometer recordings. The k-means clustering algorithm was employed, achieving a classification accuracy of 76% for tremor versus non-tremor states. …”
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Condition monitoring of urban rail transit by local energy harvesting by Mingyuan Gao, Yunwu Li, Jun Lu, Yifeng Wang, Ping Wang, Li Wang

“…This article introduces the principle, modeling, and experimental test of the system, including (1) an electromagnetic energy harvesting prototype with DC-DC boost converter and lithium battery charge management function, (2) wireless sensor nodes integrated with accelerometer and temperature/humidity sensor, and (3) a vehicle-track interaction model that considers wheel out-of-roundness. …”
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Patterns of physical activity in hunter-gatherer children compared with US and UK children by Luke Kretschmer, Mark Dyble, Nikhil Chaudhary, David Bann, Gul Deniz Salali

“…We analysed 150 days of accelerometer data from 51 BaYaka hunter-gatherer children (aged 3–18) in the Republic of Congo, comparing it with British and American children using samples from Millennium Cohort Study (MCS) and National Health and Nutrition Examination Survey (NHANES). …”
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