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Journal articles on the topic 'Threshold acceleration sensor'

Author: Grafiati

Published: 6 September 2023

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1

Feng, Jiacheng, Jun Ma, ZaiYan Gong, Di Kang, and Chao Wang. "Design of Multi-threshold Acceleration Switch Based on Matlab." MATEC Web of Conferences 232 (2018): 04026. http://dx.doi.org/10.1051/matecconf/201823204026.

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Acceleration switch can trigger switches according to the variation of external acceleration without complex control system and circuit. With the excellent characteristics of integration of sensor and actuator, zero power consumption and high reliability, multi-threshold acceleration switch has great application value in the fields of vehicle safety, aerospace and industrial equipment. In order to reduce the complexity of the measurement system and improve the reliability, we realized the design of a multi-threshold and anti-overloading acceleration switch which can distinguish specific pulse

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Liu, Min, Xinyang Wu, Yanxu Niu, Haotian Yang, Yingmin Zhu, and Weidong Wang. "Research Progress of MEMS Inertial Switches." Micromachines 13, no. 3 (2022): 359. http://dx.doi.org/10.3390/mi13030359.

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As a typical type of MEMS acceleration sensor, the inertial switch can alter its on-off state while the environmental accelerations satisfy threshold value. An exhaustive summary of the design concept, performance aspects, and fabrication methods of the micro electromechanical system (MEMS) inertial switch is provided. Different MEMS inertial switch studies were reviewed that emphasized acceleration directional and threshold sensitivity, contact characteristics, and their superiorities and disadvantages. Furthermore, the specific fabrication methods offer an applicability reference for the pre

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Yu, Yudan, Wei Lin, and Zhaoyang Yu. "Research on motion track error detection and compensation algorithm based on MEMS sensor." ITM Web of Conferences 47 (2022): 02010. http://dx.doi.org/10.1051/itmconf/20224702010.

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Due to various errors in actual use, MEMS inertial sensors have large errors in the detection of motion trajectories. Therefore, it is necessary to analyse and model the errors to decrease the impact of error sources on the detection system. This errors mainly include systematic random errors and accumulated errors generated during double integral operation, and different filtering methods are used for different types of errors. For random errors, the wavelet fuzzy threshold method is used to filter the sensor output signal. For the accumulated error, the zero-state adaptive compensation algor

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Tian, Wen Chao, Ya Feng Hao, and Hong Fang Ruan. "Simulation and Test of Bistable Inductive Micro-Switch." Advanced Materials Research 230-232 (May 2011): 779–83. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.779.

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Inductive micro-switch is an integrative device of a sensor and actuator. It can not only induce an external acceleration, but can also be controlled by the external acceleration to realize the trigger action. However, its malfunctions related to “fail-to-closure” and “transient-closure” result in low reliability and weak anti-jamming capability. A new bistable inductive micro-switch is presented based on micro size adhesive effect. The dynamic simulation is obtained by Comsol software. The simulation shows the threshold acceleration is 23.6g, and the response time is 0.38ms. The micro-switch

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Norhabibah, Siti, Wahyu Andhyka, and Diah Risqiwati. "Rancang Bangun Sistem Monitoring Deteksi Jatuh untuk Manula dengan Menggunakan Accelerometer." JOINCS (Journal of Informatics, Network, and Computer Science) 1, no. 1 (2017): 43. http://dx.doi.org/10.21070/joincs.v1i1.803.

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Elderly is a last transitional period of human life. Decrease or disappearance of organ function such as loss of balance, reduced vision and hearing cause the elderly often fall. The limited physical ability of them requires supervision. Supervision is necessary to avoid undesirable thing occurs. Here, a tool called accelerometer can be used to supervise and monitor whether the fall incident occurs or not to the elderly. In this study, the magnitude of the acceleration in x, y, and z axes of the accelerometer sensor is processed into a total value of acceleration. Then the value will be compar

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Norhabibah, Siti, Wahyu Andhyka, and Diah Risqiwati. "Design and Build a Fall Detection Monitoring System for the Elderly Using an Accelerometer." JOINCS (Journal of Informatics, Network, and Computer Science) 1, no. 1 (2018): 43–52. http://dx.doi.org/10.21070/10.21070/joincs.v1i1.803.

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Elderly is a last transitional period of human life. Decrease or disappearance of organ function such as loss of balance, reduced vision and hearing cause the elderly often fall. The limited physical ability of them requires supervision. Supervision is necessary to avoid undesirable thing occurs. Here, a tool called accelerometer can be used to supervise and monitor whether the fall incident occurs or not to the elderly. In this study, the magnitude of the acceleration in x, y, and z axes of the accelerometer sensor is processed into a total value of acceleration. Then the value will be compar

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Lukyanov, Dmitry P., Alexander M. Boronakhin, Sergey Yu Shevchenko, Mariya A. Khivrich, and Temurmalik A. Amirov. "Microaccelerometer on Surface Acoustic Waves with a Ring Resonator on Anisotropic Material." Journal of the Russian Universities. Radioelectronics 22, no. 5 (2019): 116–29. http://dx.doi.org/10.32603/1993-8985-2019-22-5-116-129.

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Introduction. Diagnostic systems are designed to monitor the condition of operational components (for example, on the railway). It is imperative that micro-electromechanical systems (MEMS) equipped with acceleration sensors (accelerometers) be used as part of measuring diagnostic systems. It is known that accelerometers are operated under increased vibration and repeated shock loads. This imposes a limitation both on the accelerometer design and the properties of materials from which these devices are produced.Aim. To develop a micromechanical accelerometer (MMA) for surface acoustic waves (SA

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Han, Yingzhou, Guozhe Xuan, Jiahao Zhao, and Zheng You. "Low-G Triggered Acceleration Switch for Near-Zero Power Wake-Up Application." Micromachines 13, no. 8 (2022): 1333. http://dx.doi.org/10.3390/mi13081333.

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A low-g triggered micro-electromechanical system (MEMS) resonant acceleration switch is designed, fabricated and tested in this paper for near-zero power wake-up applications. The switch is actuated by ambient low-g vibration, consuming zero power while waiting for vibration at its resonant frequency. A cantilever beam and proof mass structure is adopted in the switch. The patterns of spiral cantilever beams are designed for low resonant frequency and threshold. Once the vibration with resonant frequency exceeds the acceleration threshold of the switch, the movable electrode becomes sufficient

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Alhusban, Zaid. "Studying sediment transport dynamics by using the Smart sphere." International Journal of Energetica 5, no. 1 (2020): 01. http://dx.doi.org/10.47238/ijeca.v5i1.122.

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A new method is introduced by using high precision accelerometer and gyroscope micro-electromechanical sensors (MEMS), which can record Lagrangian observations of sediments and shed light into the dynamics of sediment transport processes at above threshold conditions. The sensor can be used under a range of well-controlled flow conditions and can record measurements at high frequency (200 Hz), which can be used at the field. The smart sphere performance was evaluated by comparing its rotation and acceleration readings from the sensors to the video recordings of both top and underwater high-spe

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Jung, Byung, Young Huh, and Jin-Woo Park. "A Self-Powered, Threshold-Based Wireless Sensor for the Detection of Floor Vibrations." Sensors 18, no. 12 (2018): 4276. http://dx.doi.org/10.3390/s18124276.

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Smart buildings will soon be a reality due to innovative Internet of Things (IoT) applications. IoT applications can be employed not only for energy management in a building, but also for solving emerging social issues, such as inter-floor noise-related disputes in apartments and the solitary death of an elderly person. For example, acceleration sensors can be used to detect abnormal floor vibrations, such as large vibrations due to jumping children or unusual vibrations in a house where an elderly person is living alone. However, the installation of a conventional accelerometer can be restric

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Avisena, Shandy, Freddy Kurniawan, and Ndaru Atmi Purnami. "Penentuan Koreksi Sudut Attitude pada Quadrotor Menggunakan Algoritma Zero Acceleration Compensation." AVITEC 4, no. 1 (2022): 27. http://dx.doi.org/10.28989/avitec.v4i1.1109.

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The orientation angle of a quadrotor UAV can be estimated from gyroscope and accelerometer data. Orientation can be predicted from gyroscope data under static or dynamic conditions, but the predicted value has accumulated errors. Meanwhile, orientation can also be calculated from accelerometer data, but only correct if the sensor is in a static state. To get a more precise orientation angle, the orientation predicted from the gyroscope data and the orientation calculated from the accelerometer data were fused using a Kalman filter. Determination of the condition of the sensor using a threshold

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Du, Ronghua, Gang Qiu, Kai Gao, Lin Hu, and Li Liu. "Abnormal Road Surface Recognition Based on Smartphone Acceleration Sensor." Sensors 20, no. 2 (2020): 451. http://dx.doi.org/10.3390/s20020451.

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In order to identify the abnormal road surface condition efficiently and at low cost, a road surface condition recognition method is proposed based on the vibration acceleration generated by a smartphone when the vehicle passes through the abnormal road surface. The improved Gaussian background model is used to extract the features of the abnormal pavement, and the k-nearest neighbor (kNN) algorithm is used to distinguish the abnormal pavement types, including pothole and bump. Comparing with the existing works, the influence of vehicles with different suspension characteristics on the detecti

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Doan, H. G., and N. T. Nguyen. "Fusion Machine Learning Strategies for Multi-modal Sensor-based Hand Gesture Recognition." Engineering, Technology & Applied Science Research 12, no. 3 (2022): 8628–33. http://dx.doi.org/10.48084/etasr.4913.

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Hand gesture recognition has attracted the attention of many scientists, because of its high applicability in fields such as sign language expression and human machine interaction. Many approaches have been deployed to detect and recognize hand gestures, like wearable devices, image information, and/or a combination of sensors and computer vision. However, the method of using wearable sensors brings much higher accuracy and is less affected by occlusion, lighting conditions, and complex background. Existing solutions separately utilize sensor information and/or only use sensor information proc

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Jachowicz, Marcin, and Grzegorz Owczarek. "Studies of Acceleration of the Human Body during Overturning and Falling from a Height Protected by a Self-Locking Device." International Journal of Environmental Research and Public Health 19, no. 19 (2022): 12077. http://dx.doi.org/10.3390/ijerph191912077.

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The use of individual fall protection equipment is one of the most commonly applied methods of protecting workers whose worksites are located above the floor level. The safety of the user in such a situation depends on both the proper selection and correct use of such equipment. Additionally, aspects such as minimizing the free-fall distance before the fall arrest, as well as quick notification of an accident and efficient rescue operation, are important factors influencing safety. This paper presents a new testing method for fall arrest equipment using a test stand consisting of the Hybrid II

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Quwaider, Muhannad, and Subir Biswas. "Physical Context Detection using Wearable Wireless Sensor Networks." Journal of Communications Software and Systems 4, no. 3 (2008): 191. http://dx.doi.org/10.24138/jcomss.v4i3.219.

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This paper presents the architecture of a wearable sensor network and a Hidden Markov Model (HMM) processingframework for stochastic identification of body postures andphysical contexts. The key idea is to collect multi-modal sensor data from strategically placed wireless sensors over a human subject’s body segments, and to process that using HMM in order to identify the subject’s instantaneous physical context. The key contribution of the proposed multi-modal approach is a significant extension of traditional uni-modal accelerometry in which only the individual body segment movements, without

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Xu, Fengyu, Zhong Yang, JinLong Hu, Guoping Jiang, and GuoHong Dai. "Fault diagnosis of a selective compliance assembly robot arm manipulator based on the end joint motion analysis: Threshold algorithm and experiments." Transactions of the Institute of Measurement and Control 40, no. 5 (2017): 1691–700. http://dx.doi.org/10.1177/0142331217690222.

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This paper presented a method to carry out fault diagnosis via analyzing the motion signals of a SCARA. To analyze the motion signals of the end joint of a selective compliance assembly robot arm (SCARA) and carry out fault diagnosis. A model parameter-based threshold algorithm is proposed in this study to improve the efficiency of the fault diagnosis on the end joint of a SCARA manipulator. The operation state of the robot is determined by comparing the speed curve of the end joint of the robot with the threshold using the proposed algorithm. Firstly, the threshold range of the system output

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Kong, Yawen, Dapeng Tian, and Yutang Wang. "An Adaptive Three-Axis Attitude Estimation Method Based on Multi-Sensor Fusion for Optoelectronic Platform." Applied Sciences 12, no. 7 (2022): 3693. http://dx.doi.org/10.3390/app12073693.

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Optoelectronic platform is an important payload in the field of aerospace and widely used in geographic mapping, measurement, and positioning. In order to obtain high-precision attitude measurement, gyro and accelerometer are applied in the feedback loop of light of sight (LOS) control system of optoelectronic platform. Aiming at compensating for gyro drift and maneuvering acceleration disturbance, an adaptive 3-axis attitude estimation method is proposed in this paper. An adaptive threshold criterion is designed by applying the accelerometer data in the sliding window. The threshold is determ

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Bradai, Sonia, Ghada Bouattour, Dhouha El Houssaini, and Olfa Kanoun. "Vibration Converter with Passive Energy Management for Battery-Less Wireless Sensor Nodes in Predictive Maintenance." Energies 15, no. 6 (2022): 1982. http://dx.doi.org/10.3390/en15061982.

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Predictive maintenance is becoming increasingly important in industry and requires continuous monitoring to prevent failures and anticipate maintenance processes, resulting in reduced downtime. Vibration is often used for failure detection and equipment conditioning as it is well correlated to the machine’s operation and its variation is an indicator of process changes. In this context, we propose a novel energy-autonomous wireless sensor system that is able to measure without the use of batteries and automatically deliver alerts once the machine has an anomaly by the variation in acceleration

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Pan, Daohua, and Hongwei Liu. "Human Falling Recognition Based on Movement Energy Expenditure Feature." Discrete Dynamics in Nature and Society 2021 (November 13, 2021): 1–12. http://dx.doi.org/10.1155/2021/1422586.

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Falls in the elderly are a common phenomenon in daily life, which causes serious injuries and even death. Human activity recognition methods with wearable sensor signals as input have been proposed to improve the accuracy and automation of daily falling recognition. 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 behavi

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Shevchenko, Sergey, Maria Khivrich, and Oleg Markelov. "Ring-Shaped Sensitive Element Design for Acceleration Measurements: Overcoming the Limitations of Angular-Shaped Sensors." Electronics 8, no. 2 (2019): 141. http://dx.doi.org/10.3390/electronics8020141.

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A new modification of an acceleration measurement sensor based on an acoustic waves resonance principle is proposed. Common angular-shaped sensors exhibit stress concentrations at the angular points near the origin points of destruction under external stresses; these points are the “Achilles’ heel” of the entire design. To overcome the above limitation, we suggest an angular-free ring-shaped sensitive element design that is characterized by enhanced robustness against external stress. The analytical treatment is validated by computer simulation results performed using the COMSOL Multiphysics s

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L, Padmasree, Preethi Eluri, Sai Subrahmanya Akhil Badampudi, and Sreedhar Reddy Mukkamalla. "Real Time Vision System for Autonomous Vehicles." Review of Computer Engineering Studies 7, no. 4 (2020): 87–90. http://dx.doi.org/10.18280/rces.070402.

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With the increase in vehicle accidents regularly, there is a need to control these accidents and save precious lives. The main reason for accidents on roads are mainly observed by driver misconception, recklessness and over speeding. So, there is a need to develop a Vision system which has a ability to explore its surroundings and move accordingly. The Vision system is divided into 3 subsystems as Visual perception subsystem, Brake and Acceleration subsystem and Steering control subsystem. The Visual perception means the ability to interpret surrounding environment using light in the visual sp

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Ding, Song Lin, R. Izamshah R.A., John Mo, and Yong Wei Zhu. "Chatter Detection in High Speed Machining of Titanium Alloys." Key Engineering Materials 458 (December 2010): 289–94. http://dx.doi.org/10.4028/www.scientific.net/kem.458.289.

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Chatter is a complex phenomenon characterized by unstable, chaotic motions of the tool and by strong anomalous fluctuations of cutting forces. The situation becomes more serious in the milling of titanium alloys because of their low Young modulus and extended elastic behaviour. This paper presents an online chatter detection system based on the analysis of cutting forces, which is one of the integrated modules of a multi-sensor chatter detection system consisting acoustic and acceleration sensors. The cutting force is transformed into frequency domain by applying Fast Fourier Transform (FFT).

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Mei, Chang, Farong Gao, and Ying Li. "A Determination Method for Gait Event Based on Acceleration Sensors." Sensors 19, no. 24 (2019): 5499. http://dx.doi.org/10.3390/s19245499.

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A gait event is a crucial step towards the effective assessment and rehabilitation of motor dysfunctions. However, for the data acquisition of a three-dimensional motion capture (3D Mo-Cap) system, the high cost of setups, such as the high standard laboratory environment, limits widespread clinical application. Inertial sensors are increasingly being used to recognize and classify physical activities in a variety of applications. Inertial sensors are now sufficiently small in size and light in weight to be part of a body sensor network for the collection of human gait data. The acceleration si

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Yong, Han, Huang Shiyong, Han MengXuan, et al. "The Experimental Validation of a Digital Filter Mathematical Modelling for Nuclear Fuel Vibration Monitoring System." Journal of Function Spaces 2022 (June 4, 2022): 1–11. http://dx.doi.org/10.1155/2022/9741419.

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Aiming at vehicles will produce shocks and vibrations for various reasons in the process of transportation and handling, any shock and vibration that exceeds the regulations would cause damage to the nuclear fuel being transported. In order to monitor and analyze the shock and vibration data scientifically, a monitoring system based on MEMS acceleration sensor technology is developed to measure shocks and vibrations. The measured result involves some noise caused by the sensitivity of the sensor and the electrical noise, and a digital filter mathematical modelling is introduced to reduce noise

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Kapilesh Kathiresh, Balaji Ramachandran, C. Edwin Samuel,. "MATLAB ALGORITHM FOR DRIVING PATTERN DETECTION AND ANALYSIS USING SMARTPHONE SENSORS." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (2021): 1457–70. http://dx.doi.org/10.17762/itii.v9i1.299.

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In countries like India and China where the population density is very high and the number of vehicles on road keep on increasing every year it presents us with a problem that is monitoring this entire situation and preventing rash driving and accidents and even if they take place there should be immediate action taken to prevent it from happening again and making the roads a safer environment for everyone. To solve this problem, utilized sensors present in the Smartphone specifically the accelerometer sensor to detect the changes in parameters, for this an app was created. The app will read t

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Aldawood, Ghufran, and Hamzeh Bardaweel. "Self-Powered Self-Contained Wireless Vibration Synchronous Sensor for Fault Detection." Sensors 22, no. 6 (2022): 2352. http://dx.doi.org/10.3390/s22062352.

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Failure in dynamic structures poses a pressing need for fault detection systems. Interconnected sensor nodes of wireless sensor networks (WSN) offer a solution by communicating information about their surroundings. Nonetheless, these battery-powered sensors have an immense labor cost and require periodical battery maintenance and replacement. Batteries pose a significant environmental threat that is expected to cause irreversible damage to the ecosystem. We introduce a fully integrated vibration-powered energy harvester sensor system that is interfaced with a custom-developed fault detection a

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Droogendijk, H., M. J. de Boer, R. G. P. Sanders, and G. J. M. Krijnen. "A biomimetic accelerometer inspired by the cricket's clavate hair." Journal of The Royal Society Interface 11, no. 97 (2014): 20140438. http://dx.doi.org/10.1098/rsif.2014.0438.

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Crickets use so-called clavate hairs to sense (gravitational) acceleration to obtain information on their orientation. Inspired by this clavate hair system, a one-axis biomimetic accelerometer has been developed and fabricated using surface micromachining and SU-8 lithography. An analytical model is presented for the design of the accelerometer, and guidelines are derived to reduce responsivity due to flow-induced contributions to the accelerometer's output. Measurements show that this microelectromechanical systems (MEMS) hair-based accelerometer has a resonance frequency of 320 Hz, a detecti

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Zhou, Shuwen, and Siqi Zhang. "Study on Tractor Semi-Trailer Roll Stability Control." Open Mechanical Engineering Journal 8, no. 1 (2014): 238–42. http://dx.doi.org/10.2174/1874155x01408010238.

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The rollover accidents in the tractor semi-trailer are often fatal and many factors could cause the tractor semi-trailer rollover. In this paper, a rollover prevention control method was proposed based on real-time calculation of rollover index. The vehicle Center of Gravity (CG) height from the ground is an important parameter in the rollover index and it is estimated through lateral acceleration sensor and suspension deflection sensors. Comparing the rollover index with the preset threshold, the differential braking will be applied to corresponding wheels once the trigger conditions are met.

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Jalalifar, Salman, Afsaneh Kashizadeh, Ishmam Mahmood, et al. "A Smart Multi-Sensor Device to Detect Distress in Swimmers." Sensors 22, no. 3 (2022): 1059. http://dx.doi.org/10.3390/s22031059.

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Drowning is considered amongst the top 10 causes of unintentional death, according to the World Health Organization (WHO). Therefore, anti-drowning systems that can save lives by preventing and detecting drowning are much needed. This paper proposes a robust and waterproof sensor-based device to detect distress in swimmers at varying depths and different types of water environments. The proposed device comprises four main components, including heart rate, blood oxygen level, movement, and depth sensors. Although these sensors were designed to work together to boost the system’s capability as a

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Zhao, Long, Jianwei You, and Nianmin Yao. "Smart Mobile Phone Groups - Based Design and Implementation of Vehicle Accident Self-rescue System." Electronics Science Technology and Application 3, no. 1 (2016): 1. http://dx.doi.org/10.18686/esta.v3i1.1.

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<p class="p1"><span class="s1">Considering the deficiency that the existing automobile accident self-rescue system requires to assemble the specific sensor, GPS and communication module, the author designed a vehicle collision or crash detection and accident self-rescue system based on the smart mobile phone groups. Taking the acceleration signals of physical moments from the smart mobile phones in the accidents car as the input samples and the assembly of acceleration data as the calculating thresholds, the system can not only improve the accuracy rating of the judgments about the

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Widodo, Romy Budhi, and Chikamune Wada. "Attitude Estimation Using Kalman Filtering: External Acceleration Compensation Considerations." Journal of Sensors 2016 (2016): 1–24. http://dx.doi.org/10.1155/2016/6943040.

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Attitude estimation is often inaccurate during highly dynamic motion due to the external acceleration. This paper proposes extended Kalman filter-based attitude estimation using a new algorithm to overcome the external acceleration. This algorithm is based on an external acceleration compensation model to be used as a modifying parameter in adjusting the measurement noise covariance matrix of the extended Kalman filter. The experiment was conducted to verify the estimation accuracy, that is, one-axis and multiple axes sensor movement. Five approaches were used to test the estimation of the att

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Segalini, A., A. Valletta, A. Carri, and R. Savi. "Impact identification on flexible rockfall barriers: on site test of a wireless monitoring system." IOP Conference Series: Earth and Environmental Science 1124, no. 1 (2023): 012125. http://dx.doi.org/10.1088/1755-1315/1124/1/012125.

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Abstract Flexible rockfall barriers represent an effective measure to mitigate hazard related to falling boulders. The monitoring activity of these protection structures is essential to guarantee their functionality, and usually aims to verify the barrier conditions and to identify any impact on the net. The system here presented, called D-Fence, was specifically developed for the realtime monitoring of flexible rockfall barriers. It consists of a series of separate battery-powered devices installed on the uprights of the monitored structure and transmit data to the elaboration center through

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Xu, Mengjie, Jianhan Wang, Jiahui Mo, Xingfei Li, Lei Yang, and Feng Ji. "Single-Channel Blind Signal Separation of the MHD Linear Vibration Sensor Based on Singular Spectrum Analysis and Fast Independent Component Analysis." Sensors 22, no. 24 (2022): 9657. http://dx.doi.org/10.3390/s22249657.

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An MHD vibration sensor, as a new type of sensor used for vibration measurements, meets the technical requirements for the low-noisy measurement of acceleration, velocity, and micro-vibration in spacecraft during their development, launch, and orbit operations. A linear vibration sensor with a runway type based on MHD was independently developed by a laboratory. In a practical test, its output signal was mixed with a large amount of noise, in which the continuous narrowband interference was particularly prominent, resulting in the inability to efficiently carry out the real-time detection of m

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Saadatzadeh, E., A. Chehreghan, and R. Ali Abbaspour. "PEDESTRIAN DEAD RECKONING USING SMARTPHONES SENSORS: AN EFFICIENT INDOOR POSITIONING SYSTEM IN COMPLEX BUILDINGS OF SMART CITIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 19, 2019): 905–12. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-905-2019.

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Abstract. This paper proposes an indoor positioning method using Pedestrian Dead Reckoning (PDR) based on the detection of the mode of the user’s smartphone. In the first step, to determine the mode of carrying the smartphone (Holding, Calling, Swinging) by suitably formed feature vectors based on sensor data, three classification algorithms (Decision Tree (DT), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN)) are evaluated. From the classification algorithm perspective, the decision tree algorithm had the best performance in terms of processing time and classification. Secondly, to

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Wang, Feng, Wen Zhong Lou, Ming Ru Guo, and Yu Fei Lu. "Intelligent Logistics Monitoring Microsystem Based on STM32." Key Engineering Materials 645-646 (May 2015): 896–99. http://dx.doi.org/10.4028/www.scientific.net/kem.645-646.896.

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A intelligent logistics monitoring microsystem has been designed based on STM32F103T8, which is high ability, low power consumption and low cost. The radio frequency (RF) chip CC1101, the acceleration sensor BMA280 and the temperature and humidity sensor HTU21D are selected to acquire the corresponding data for the intelligent logistics microsystem, which are ultra-low power consumption and ultra-small size. Moreover, in order to further reduce power consumption, the interrupt mode is adopted in the data acquisition module and the sleep mode is used in the MCU module in the software control. O

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Scheurer, Simon, Janina Koch, Martin Kucera, et al. "Optimization and Technical Validation of the AIDE-MOI Fall Detection Algorithm in a Real-Life Setting with Older Adults." Sensors 19, no. 6 (2019): 1357. http://dx.doi.org/10.3390/s19061357.

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Falls are the primary contributors of accidents in elderly people. An important factor of fall severity is the amount of time that people lie on the ground. To minimize consequences through a short reaction time, the motion sensor “AIDE-MOI” was developed. “AIDE-MOI” senses acceleration data and analyzes if an event is a fall. The threshold-based fall detection algorithm was developed using motion data of young subjects collected in a lab setup. The aim of this study was to improve and validate the existing fall detection algorithm. In the two-phase study, twenty subjects (age 86.25 ± 6.66 yea

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Gao, Yang, Jing Min Gao, and Jiu He Wang. "Research of Humen Fall Detection Algorithm Based on Tri-Axis Accelerometer." Key Engineering Materials 500 (January 2012): 623–28. http://dx.doi.org/10.4028/www.scientific.net/kem.500.623.

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The real-time monitoring of human movement can provide valuable information regarding an individual’s degree of functional ability and general level of activity. This paper presents a fall-detection technology based on tri-axial accelerometer sensor was introduced. The acceleration data of the activities with the characteristic quantity SVM and SMA was analyzed. A method based on SVM and SMA, that takes the human body activity (erectness/lies down) as the auxiliary criterion to distinguish fall and ADL is proposed, and concrete threshold value and related parameters are summarized in this arti

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Jakovlev, Sergej, Tomas Eglynas, Miroslav Voznak, et al. "Detection of Physical Impacts of Shipping Containers during Handling Operations Using the Impact Detection Methodology." Journal of Marine Science and Engineering 10, no. 9 (2022): 1250. http://dx.doi.org/10.3390/jmse10091250.

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The transportation of cargo inside shipping containers is a risky operation that requires constant monitoring activities and real-time operational actions. Yet, the detection of the real dynamics of the container and the surrounding infrastructure and extraction of true subsequent critical events is still an unresolved issue among engineers. In this paper, we analyze the new physical impact detection method, namely the Impact Detection Methodology (IDM), to detect the most obvious and force-dependent impacts from acceleration data, using the IoT sensor in an experimental environment using the

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Yang, Meng, Xiaoxu Sun, Xiaoting Deng, Zhixiong Lu, and Tao Wang. "Extrapolation of Tractor Traction Resistance Load Spectrum and Compilation of Loading Spectrum Based on Optimal Threshold Selection Using a Genetic Algorithm." Agriculture 13, no. 6 (2023): 1133. http://dx.doi.org/10.3390/agriculture13061133.

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To obtain the load spectrum of the traction resistance of the three-point suspension device under tractor-plowing conditions, a load spectrum extrapolation method based on a genetic algorithm optimal threshold selection is proposed. This article first uses a pin force sensor to measure the plowing resistance of the tractor’s three-point suspension device under plowing conditions and preprocesses the collected load signal. Next, a genetic algorithm is introduced to select the threshold based on the Peak Over Threshold (POT) extremum extrapolation model. The Generalized Pareto Distribution (GPD)

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Aoki, Takahiro, Makoto Shibata, Guilherme Violin, Shogo Higaki, and Koji Yoshioka. "Detection of foaling using a tail-attached device with a thermistor and tri-axial accelerometer in pregnant mares." PLOS ONE 18, no. 6 (2023): e0286807. http://dx.doi.org/10.1371/journal.pone.0286807.

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It is desirable to attend to the mare at the time of foaling in order to assist fetal delivery and prevent complications. The early detection of the onset of labor is an important issue for the equine industry. The purpose of this study was to examine the applicability of a sensor for foaling detection using the data of surface temperature (ST), roll angle (rotation about the y-axis) and y-axis (long axis of the tail) acceleration which were collected from a multimodal device attached to the ventral tail base of the mare. The data were collected every 3 minutes in 17 pregnant mares. Roll angle

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Maniatis, Georgios, Trevor Hoey, Rebecca Hodge, Dieter Rickenmann, and Alexandre Badoux. "Inertial drag and lift forces for coarse grains on rough alluvial beds measured using in-grain accelerometers." Earth Surface Dynamics 8, no. 4 (2020): 1067–99. http://dx.doi.org/10.5194/esurf-8-1067-2020.

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Abstract. Quantifying the force regime that controls the movement of a single grain during fluvial transport has historically proven to be difficult. Inertial micro-electromechanical system (MEMS) sensors (sensor assemblies that mainly comprise micro-accelerometers and gyroscopes) can used to address this problem using a “smart pebble”: a mobile inertial measurement unit (IMU) enclosed in a stone-like assembly that can measure directly the forces on a particle during sediment transport. Previous research has demonstrated that measurements using MEMS sensors can be used to calculate the dynamic

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He, Ren, and Daxing Huang. "Automatic testing method for static pressure drive performance of electronic hydraulic brake system." Thermal Science 24, no. 3 Part A (2020): 1529–36. http://dx.doi.org/10.2298/tsci190511018h.

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To solve the problem of static pressure transmission performance of electronic hydraulic brake system, the mathematical models of main cylinder, solenoid valve, accumulator, and motor hydraulic pump of electronic hydraulic brake system are established. Based on the mathematical model, the static pressure transmission performance of electronic hydraulic brake system is analyzed. Then the standard normal state model of static pressure transmission performance of electronic hydraulic brake system is established by statistical method. The threshold correlation degree between the vibration signal o

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De Luca, Carlo J., and Emily C. Hostage. "Relationship Between Firing Rate and Recruitment Threshold of Motoneurons in Voluntary Isometric Contractions." Journal of Neurophysiology 104, no. 2 (2010): 1034–46. http://dx.doi.org/10.1152/jn.01018.2009.

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We used surface EMG signal decomposition technology to study the control properties of numerous simultaneously active motor units. Six healthy human subjects of comparable age (21 ± 0.63 yr) and physical fitness were recruited to perform isometric contractions of the vastus lateralis (VL), first dorsal interosseous (FDI), and tibialis anterior (TA) muscles at the 20, 50, 80, and 100% maximum voluntary contraction force levels. EMG signals were collected with a five-pin surface array sensor that provided four channels of data. They were decomposed into the constituent action potentials with a n

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Yi, Yongdan, and Tingting Yu. "Intelligent Detection and Analysis of Wearable Devices in Wushu Training." Security and Communication Networks 2022 (August 30, 2022): 1–6. http://dx.doi.org/10.1155/2022/1413905.

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With the integration and development of artificial intelligence and medical technology, wearable intelligent technology has become an important health testing equipment in people’s lives, constantly testing physical function and health. However, according to the movement standards, body indicators, and constantly changing detection indexes of athletes in the exercise process, it can effectively guide athletes to use them correctly and efficiently, which has become an important task of wearable intelligent technology. In the design mode of wearable smart devices, wearable bracelets are designed

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Qu, Zhaole, Jianze Liu, Yang Li, Fazhan Yang, and Jiang Liu. "Study on Multi-Mode Switching Control of Intelligent Suspension under Full Road Section." Processes 11, no. 6 (2023): 1776. http://dx.doi.org/10.3390/pr11061776.

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The safety, comfort, and energy feedback of active suspension in a single control mode is mutually restricted. To meet the needs of drivers and passengers for vehicle driving performance under different road conditions, this paper proposes a multi-mode switching control strategy of an intelligent suspension system, aiming at improving the stability and comfort of vehicles under different road conditions. In this paper, the adaptive Kalman filter algorithm with a forgetting factor is used to estimate the road input. The accuracy of the algorithm in estimating the road input is verified by simul

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Kumari, shubhangi. "A Thing Speak IoT Based Vibration Measurement and Monitoring System Using an Accelerometer sensor." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 1249–58. http://dx.doi.org/10.22214/ijraset.2021.37599.

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Abstract: This paper presents the development of a Thing Speak IoT on a Real-Time Vibration measurement System using the accelerometer Sensor. Many systems have been designed previously but some lack systems are identified where it does not provide adaptively connections and alert to web pages on logging data collections. Thus, understanding the previous system model is important to compare the importance of new build parameters in designing the new system. An evaluation of the current model, hardware, and software is important before a new architecture is developed. This research has develope

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Sun, Xu, Kai Zhao, Wei Jiang, and Xinlong Jin. "Method of Analyzing and Managing Volleyball Action by Using Action Sensor of Mobile Device." Journal of Sensors 2021 (September 20, 2021): 1–11. http://dx.doi.org/10.1155/2021/6232968.

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With the development of electronic technology and sensor technology, more and more intelligent electronic devices integrate micro inertial sensors, which makes the research of human action recognition based on action sensing data have great application value. Data-based action recognition is a new research direction in the field of pattern recognition, which is essentially a process of action data acquisition, feature extraction, feature extraction, and recognition, the process of classification and recognition. Inertial motion information includes acceleration and angular velocity information

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Zhang, Huaibo, and Jianghua Zhu. "Practicability of Sports Goods in the Sports Field Based on Artificial Intelligence Technology." Mobile Information Systems 2022 (June 21, 2022): 1–9. http://dx.doi.org/10.1155/2022/4964894.

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People are in the intellectual age. The use of technologies such as smart search engines, machine translation, fingerprint analysis, facial scanning, and self-driving makes people’s social and work lives happier. The intersection of artificial intelligence and other projects has also become the focus of research in the new era. This article uses comparative experimental methods and sampling methods, puts forward the evaluation method of association rules in the recommendation of sports goods, and compares the selection of sensors used by the five types of sports companies in the sports experim

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Borzì, Luigi, Luis Sigcha, and Gabriella Olmo. "Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson’s Disease." Sensors 23, no. 9 (2023): 4426. http://dx.doi.org/10.3390/s23094426.

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Freezing of gait (FoG) is a disabling clinical phenomenon of Parkinson’s disease (PD) characterized by the inability to move the feet forward despite the intention to walk. It is one of the most troublesome symptoms of PD, leading to an increased risk of falls and reduced quality of life. The combination of wearable inertial sensors and machine learning (ML) algorithms represents a feasible solution to monitor FoG in real-world scenarios. However, traditional FoG detection algorithms process all data indiscriminately without considering the context of the activity during which FoG occurs. This

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Yang, Yongle, Zhifei Zhang, Liangfeng Peng, Jie Jin, and Qinghua Wang. "Accelerated Editing Method for Vehicle Durability Fatigue Load Spectrum Based on Wigner-Ville Transform." Sensors 23, no. 14 (2023): 6435. http://dx.doi.org/10.3390/s23146435.

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A Wigner-Ville transform-based (WVT-based) load spectrum fast editing method for vehicle parts is proposed to improve the efficiency of durability tests. In this method, the instantaneous energy spectrum (IES) of the original time-domain signal is obtained via the Wigner-Ville transform, which is used as a criterion to identify time-domain points of ineffective damage contribution. A genetic algorithm (GA) based threshold optimization model is also proposed to automatically set the threshold of the IES under consideration of the relative damage requirements and statistical parameters of the si

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