Hybrid Sensor Module and Data Processing Using Low-Power Wakeup in WSN

Hong, Sang Gi; Kim, Nae Soo; Pyo, Cheol Sig; Kim, Whan-Woo

doi:10.1109/sensorcomm.2010.37

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…The concept of exoskeleton robots [3][4][5][6] has been extended from bionics research. At present, the research on exoskeleton robots has made great breakthroughs, and its application field has also shifted from the military field to the civilian field.…”

Section: Development Status Of Exoskeleton Robotsmentioning

confidence: 99%

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Wearable Robot Sensor Signal Prediction Algorithm Analysis and Study based on Particle Filtering

2022

IJMC

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In this paper, a simple platform for exoskeleton booster is designed and built. The sensing device uses static torque sensor for real-time signal acquisition and feedback. In order to remove signal impurities, this paper designs simple and effective impurity filtering circuits and algorithms. The filtered sensor signal was analyzed by unit root test to determine its stability, and the initial model was determined by ACF and PACF order method. According to the characteristics of the sensor signals of this system, the MWDAR model is verified by the model order and the short-term sliding window size. Using the existing MWDAR model, the prediction value is low. Because of the low prediction accuracy, this paper proposes to introduce particle filter algorithm to optimize, and design a new sensor signal time series prediction algorithm, and simulate it through MATLAB software. Verify the effectiveness of the designed algorithm. Due to the characteristics of the force sensor, the dynamic response frequency is significantly lower than the human neural response frequency. At the same time, after the particle optimization algorithm is used, the calculation amount is increased, which makes the prediction delay. In response to these problems, this paper uses frequency doubling technology, which can double the dynamic response frequency of the booster sensing system, thus providing a basis for accurate, real-time signal prediction.

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Section: Development Status Of Exoskeleton Robotsmentioning

confidence: 99%

“…In 1970, Box and Jenkins' book "Time Series Analysis: Forecasting and Control" [4] was published. Domestically, in 1986, Xiang Jingjun's "Dynamic Data Processing -Time Prediction Analysis" [5] and Shi Renjie's "Time Series Analysis Guide" [25], was the earliest book on time series prediction.…”

Section: Trends In Time Series Prediction Researchmentioning

confidence: 99%

Wearable Robot Sensor Signal Prediction Algorithm Analysis and Study based on Particle Filtering

2022

IJMC

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“…A considerable amount of work exists on low-powered sensor nodes, see, for example, [2]- [9]. Some specific examples are schemes handling the reduction of communication, see, e.g., [10], effective routing and multihop schemes, and the reactive partial waking up of WSN and IoT nodes, see, e.g., [11].…”

Section: System Architecturementioning

confidence: 99%

Concepts and architecture for a thumb-sized smart IoT ultrasound measurement system

Delsing

Deventer

Eliasson

et al. 2016

2016 IEEE International Ultrasonics Symposium (IUS)

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Abstract-This paper presents the technology concepts for a "thumb"-sized self-contained ultrasonic IoT measurement system. An overall architecture is proposed, and key elements are discussed with solutions using existing technology, thus arguing that realization is possible with the current technology.Such an ultrasonic IoT measurement system is constrained by its size and available energy, although it requires at least decent computational and communication resources. Because streaming data from such a device is not advisable from an energy viewpoint, there is a need for resource efficient (energy, memory and computational power) data analysis.An architecture with the following parts as well as some implementation details and performance data are proposed here:• Energy supply, battery and super capacitor • Transducer excitation achieving almost zero electrical losses • Event detection sensor interface • Data aggregation using sparse approximation and learned feature dictionaries, adapted to resource constrained embedded systems • IoT communication protocols and implementations enabling event -based communication and System of Systems integration capabilities The optimization of system level performance requires each subsystem to be optimized for the specific measurement situation taking into account the subsystem interdependencies. This can be performed using a combined electrical and acoustical model of the system. Here, the model allowing electronic and acoustic co-simulation using SPICE is an important tool bridging the electronic and acoustic domains.

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An adaptable system for energy management in intelligent buildings

Qela¹,

Mouftah²

2011

2011 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA) Proceedings

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Hybrid Sensor Module and Data Processing Using Low-Power Wakeup in WSN

Cited by 4 publications

References 16 publications

Wearable Robot Sensor Signal Prediction Algorithm Analysis and Study based on Particle Filtering

Wearable Robot Sensor Signal Prediction Algorithm Analysis and Study based on Particle Filtering

Concepts and architecture for a thumb-sized smart IoT ultrasound measurement system

An adaptable system for energy management in intelligent buildings

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