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mmWave Radar Based Real-Time Human P...

Wang, Yijiang.

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mmWave Radar Based Real-Time Human Pose Construction.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	mmWave Radar Based Real-Time Human Pose Construction./
作者:	Wang, Yijiang.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	28 p.
附註:	Source: Masters Abstracts International, Volume: 82-04.
Contained By:	Masters Abstracts International82-04.
標題:	Computer science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28090745
ISBN:	9798672198101

mmWave Radar Based Real-Time Human Pose Construction.
Wang, Yijiang.

mmWave Radar Based Real-Time Human Pose Construction. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 28 p.

Source: Masters Abstracts International, Volume: 82-04.

Thesis (M.S.)--State University of New York at Buffalo, 2020.

This item must not be sold to any third party vendors.

Recently, Millimeter wave (mmWave) FMCW radar sensors are popular in diverse application scenarios of Internet of things (IoT), especially in industrial and automobile scenarios. This type of sensors have specialty of providing the range, velocity, and angle of detected objects which may block by some materials in the line of sight, which makes they outperforms camera in some special scenarios. However, applying mmWave radar sensor on the human pose reconstruction task still lacks extensive research. So, this paper presents a real-time system based on TI automotive mmWave radar sensors that can estimate 3D pose of the human body from streaming Analog-to-Digital Converters (ADC) signal data. This system can capture ADC signal from TI AWR1843 radar sensor coupled with DCA1000 and convert it to points cloud array with classical radar signal processing algorithms. Then, points cloud will be fed into a deep learning model which extracts pose parameters of detected human body and constructs and renders the human pose in 3D skeleton form. The system performance achieves real-time level reconstruction of the 3D human pose within centimeter-level error and 300ms delay at 10fps.

ISBN: 9798672198101Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Human pose

mmWave Radar Based Real-Time Human Pose Construction.
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500 $a Source: Masters Abstracts International, Volume: 82-04.
500 $a Advisor: Su, Lu.
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506 $a This item must not be sold to any third party vendors.
520 $a Recently, Millimeter wave (mmWave) FMCW radar sensors are popular in diverse application scenarios of Internet of things (IoT), especially in industrial and automobile scenarios. This type of sensors have specialty of providing the range, velocity, and angle of detected objects which may block by some materials in the line of sight, which makes they outperforms camera in some special scenarios. However, applying mmWave radar sensor on the human pose reconstruction task still lacks extensive research. So, this paper presents a real-time system based on TI automotive mmWave radar sensors that can estimate 3D pose of the human body from streaming Analog-to-Digital Converters (ADC) signal data. This system can capture ADC signal from TI AWR1843 radar sensor coupled with DCA1000 and convert it to points cloud array with classical radar signal processing algorithms. Then, points cloud will be fed into a deep learning model which extracts pose parameters of detected human body and constructs and renders the human pose in 3D skeleton form. The system performance achieves real-time level reconstruction of the 3D human pose within centimeter-level error and 300ms delay at 10fps.
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650 4 $a Artificial intelligence. $3 516317
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653 $a 3D modeling
653 $a Analog-to-Digital Converters
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