TY - GEN
T1 - Spatially Sensitive Electrostatic Sensor for Human Detection
AU - Feng, Yue
AU - Wang, Wenlong
AU - Zhou, Zilong
AU - Han, Yanhui
N1 - Publisher Copyright:
© 2023, Beijing HIWING Sci. and Tech. Info Inst.
PY - 2023
Y1 - 2023
N2 - The human body as a greatly charged source exhibits a strong electric field (EF). The development of electrostatic sensor (ES) is quite useful for the detection of human body and its activities, such as the body location and moving prediction. However, most ESs cannot distinguish different human targets limited to the feature of 360° orientational sensitivity. In this paper, we propose a spatially sensitive ES with a smart pattern design of staggered-arrangement electrodes. The electric shields are sandwiched into staggered electrodes in plane, and also the mirror stacking electrodes and the electric shields are designed in out of plane. Key parameters are discussed to enables a recognized EF regional division in 3D space, owning the sub-area/sub-layer orientational sensitivities.
AB - The human body as a greatly charged source exhibits a strong electric field (EF). The development of electrostatic sensor (ES) is quite useful for the detection of human body and its activities, such as the body location and moving prediction. However, most ESs cannot distinguish different human targets limited to the feature of 360° orientational sensitivity. In this paper, we propose a spatially sensitive ES with a smart pattern design of staggered-arrangement electrodes. The electric shields are sandwiched into staggered electrodes in plane, and also the mirror stacking electrodes and the electric shields are designed in out of plane. Key parameters are discussed to enables a recognized EF regional division in 3D space, owning the sub-area/sub-layer orientational sensitivities.
KW - Electric field
KW - Electrostatic sensor
KW - Human target detection
KW - Spatially sensitive
UR - http://www.scopus.com/inward/record.url?scp=85151066614&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-0479-2_140
DO - 10.1007/978-981-99-0479-2_140
M3 - Conference contribution
AN - SCOPUS:85151066614
SN - 9789819904785
T3 - Lecture Notes in Electrical Engineering
SP - 1525
EP - 1534
BT - Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022
A2 - Fu, Wenxing
A2 - Gu, Mancang
A2 - Niu, Yifeng
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Autonomous Unmanned Systems, ICAUS 2022
Y2 - 23 September 2022 through 25 September 2022
ER -