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Chuang Wang
State Key Laboratory of Mechatronics Engineering and Control, Beijing Institute of Technology, Beijing 100081, China

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Journal article
Published: 22 May 2020 in Sensors
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This paper proposes a method based on a planar array of electrostatic induction electrodes, which uses human body electrostatics to measure the height of hand movements. The human body is electrostatically charged for a variety of reasons. In the process of a hand movement, the change of a human body’s electric field is captured through the electrostatic sensors connected to the electrode array. A measurement algorithm for the height of hand movements is used to measure the height of hand movements after the direction of it has been obtained. Compared with the tridimensional array, the planar array has the advantages of less space and easy deployment; therefore, it is more widely used. In this paper, a human hand movement sensing system based on human body electrostatics was established to perform verification experiments. The results show that this method can measure the height of hand movements with good accuracy to meet the requirements of non-contact human-computer interactions.

ACS Style

Linyi Zhang; Xi Chen; Pengfei Li; Chuang Wang; Mengxuan Li. A Method for Measuring the Height of Hand Movements Based on a Planar Array of Electrostatic Induction Electrodes. Sensors 2020, 20, 2943 .

AMA Style

Linyi Zhang, Xi Chen, Pengfei Li, Chuang Wang, Mengxuan Li. A Method for Measuring the Height of Hand Movements Based on a Planar Array of Electrostatic Induction Electrodes. Sensors. 2020; 20 (10):2943.

Chicago/Turabian Style

Linyi Zhang; Xi Chen; Pengfei Li; Chuang Wang; Mengxuan Li. 2020. "A Method for Measuring the Height of Hand Movements Based on a Planar Array of Electrostatic Induction Electrodes." Sensors 20, no. 10: 2943.

Journal article
Published: 12 November 2018 in Energies
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Negative corona discharge occurs widely in high voltage transmission lines and other “high voltage” uses, which can cause strong electromagnetic interference (EMI). In this research, the pulse current of multi-needle negative corona discharge and its electromagnetic (EM) radiation characteristics were studied and compared with that of single-needle negative corona discharge. A dipole radiation model was established to analyze the EM radiation characteristics of the negative corona discharge. The results show that the Trichel pulse discharge process of one discharge needle in multi-needle discharge structure will inhibit the discharge of the other discharge needles. It is only when the voltage reaches a certain threshold will the current and EM radiation fields of multi-needle discharge structure with a significant increasing of amolitude. The frequency of EM radiation of negative corona discharge is not affected by the number of needles, but is only related to ambient air pressure. This research provides a basis for detecting corona discharge sources in different conditions.

ACS Style

Chuang Wang; Xi Chen; Jiting Ouyang; Tie Li; Jialu Fu. Pulse Current of Multi-Needle Negative Corona Discharge and Its Electromagnetic Radiation Characteristics. Energies 2018, 11, 3120 .

AMA Style

Chuang Wang, Xi Chen, Jiting Ouyang, Tie Li, Jialu Fu. Pulse Current of Multi-Needle Negative Corona Discharge and Its Electromagnetic Radiation Characteristics. Energies. 2018; 11 (11):3120.

Chicago/Turabian Style

Chuang Wang; Xi Chen; Jiting Ouyang; Tie Li; Jialu Fu. 2018. "Pulse Current of Multi-Needle Negative Corona Discharge and Its Electromagnetic Radiation Characteristics." Energies 11, no. 11: 3120.

Journal article
Published: 23 May 2018 in Sensors
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Non-contact human-computer interactions (HCI) based on hand gestures have been widely investigated. Here, we present a novel method to locate the real-time position of the hand using the electrostatics of the human body. This method has many advantages, including a delay of less than one millisecond, low cost, and does not require a camera or wearable devices. A formula is first created to sense array signals with five spherical electrodes. Next, a solving algorithm for the real-time measured hand position is introduced and solving equations for three-dimensional coordinates of hand position are obtained. A non-contact real-time hand position sensing system was established to perform verification experiments, and the principle error of the algorithm and the systematic noise were also analyzed. The results show that this novel technology can determine the dynamic parameters of hand movements with good robustness to meet the requirements of complicated HCI.

ACS Style

Kai Tang; Pengfei Li; Chuang Wang; Yifei Wang; Xi Chen. Real-Time Hand Position Sensing Technology Based on Human Body Electrostatics. Sensors 2018, 18, 1677 .

AMA Style

Kai Tang, Pengfei Li, Chuang Wang, Yifei Wang, Xi Chen. Real-Time Hand Position Sensing Technology Based on Human Body Electrostatics. Sensors. 2018; 18 (6):1677.

Chicago/Turabian Style

Kai Tang; Pengfei Li; Chuang Wang; Yifei Wang; Xi Chen. 2018. "Real-Time Hand Position Sensing Technology Based on Human Body Electrostatics." Sensors 18, no. 6: 1677.