Synchronous Wireless Body Sensor Network Enabling Human Body Pose Estimation

Laurijssen, Dennis; Saeys, Wim; Truijen, Steven; Daems, Walter; Steckel, Jan

doi:10.1109/access.2019.2910636

Cited by 11 publications

(4 citation statements)

References 34 publications

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“…There are existing ADC standard test methods that can accurately test general-purpose ADCs, but in the field of high-resolution ADCs, this method has limitations such as high signal source accuracy and too many sampling points [8][9][10]. Therefore, research on fast and accurate test methods for high-resolution ADCs has become one of the focuses in the field of ADC testing.…”

Section: Introductionmentioning

confidence: 99%

Development and Implementation of a Low-Cost Test Solution for High-Precision ADC Chips Based on Intelligent Sensor Networks

Liu

Sun

2022

Journal of Sensors

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Analog-to-digital converters (ADCs) are moving toward high speed and high resolution for low-cost testing. Based on the theory of intelligent sensor network, this paper designs a low-cost test solution for high-precision ADC chips, which solves the problems related to signal integrity. It mainly includes the following: designing an appropriate circuit connection scheme, planning an appropriate PCB stack-up structure, formulating detailed layout and wiring constraints, etc., and building a high-speed ADC test platform to obtain static and dynamic performance; based on the existing instruments in the laboratory, the effects of different signal sources, different input powers, and the presence or absence of filters on the dynamic performance of high-speed ADCs are studied. In the simulation process, the HyperLynx simulation platform is used to design and simulate the signal integrity of the high-speed acquisition board. Combined with the relevant theoretical knowledge of the signal integrity of high-speed digital circuits, the signal integrity analysis and simulation of the ADC module circuit and the DDR3 high-speed memory circuit are carried out, respectively. The results show that, taking the histogram method as a reference, when the optimal 30 windows are selected, the integral nonlinearity (INL) error of the proposed method is 0.12 LSB, the highest sampling frequency is up to 5GSps, and 61440 sampling points are required. The time is reduced by about 30% compared with the excitation error identification and removal (SEIR) method, which effectively improves the low-cost test effect of the ADC chip.

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Section: Introductionmentioning

confidence: 99%

Development and Implementation of a Low-Cost Test Solution for High-Precision ADC Chips Based on Intelligent Sensor Networks

Liu

Sun

2022

Journal of Sensors

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“…More generally, activities such as routing or resource allocation, which critically depend on the state of communication links, can be supported by methods for pose estimation or motion recognition, that allow to infer the current pose of the human carrier and predict the link qualities accordingly. Activity detection and pose estimation in BSNs are for example, discussed in [230,231], whereas [232] uses regularities in motion patterns for data compression of motion information.…”

Section: Research Topicsmentioning

confidence: 99%

A beginner's guide to infrastructure‐less networking concepts

Förster,

Dede,

Könsgen

et al. 2023

IET Networks

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Infrastructure‐less networks connect communication devices end‐to‐end by managing links and routes independent of fixed networking facilities, relying on dedicated protocols running on end‐user devices. The large variety of infrastructure‐less concepts and related aspects can be confusing both for beginning Ph.D. students as well as experienced researchers who wish to get an overview of neighbouring areas to their own research foci. Frequently discussed topics such as different types of sensor‐, vehicular‐, or opportunistic networks are covered. The authors describe different networking concepts by looking at aspects such as the main properties, common applications, and ongoing research. Furthermore, the concepts by common characteristics such as node mobility, network density, or power consumption are compared. The authors also discuss network performance evaluation by describing commonly used metrics, different evaluation techniques, and software tools for simulation‐based evaluation. The references given in each section help obtain in‐depth information about the presented topics and give hints about open research questions, which can be a starting point for own investigations.

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“…This part consists of input, processing, and also output parts. In this input section, it uses a position sensor in the form of an infrared sensor and also a photodiode sensor [16]. In the process section, arduino uno and also motor drivers are used in charge of processing voltage and also the control program created [17].…”

Section: System Block Diagrammentioning

confidence: 99%

PID Control of Magnetic Levitation (Maglev) System

Seto

Ma’arif

2023

jfsc

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Magnetic levitation is a process of drifting or shifting an object with a certain reference, by creating a repulsive force from the gravity of an object caused by an electromagnetic field without noise. In modern times like today, with the density of community activities, especially those living in urban areas, it is necessary to be able to carry out activities efficiently as well as quickly. Therefore, the reason for many people to be able to find an innovative solution to make it easier for humans to carry out their activities. One of the innovations that can be a solution to the limited space and time is in the development of magnetic levitation technology. The system that will be used in controlling this maglev is to use a PID controller. Using this PID control will be tested with several , , and values with a setpoint of 950. At the initial tunning with the values =2, =0.01, and =2. Then in the second test using the values =3, =0.1, and =0.3. Software testing is also carried out using matlab. The exact PID value for controlling an elevated object can be found by changing the value of the , , and values that can be searched through a matlab software in the PID tunner feature, which can then be seen the PID tunning results by analyzing the graph that will be displayed by the PID tunner.

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Synchronous Wireless Body Sensor Network Enabling Human Body Pose Estimation

Cited by 11 publications

References 34 publications

Development and Implementation of a Low-Cost Test Solution for High-Precision ADC Chips Based on Intelligent Sensor Networks

Development and Implementation of a Low-Cost Test Solution for High-Precision ADC Chips Based on Intelligent Sensor Networks

A beginner's guide to infrastructure‐less networking concepts

PID Control of Magnetic Levitation (Maglev) System

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