2P1-P08 Study on Identification of People and 3D Position Measurement with Ultrasonic Sensors and Kinect sensors(Digital Human)

2012 ◽  
Vol 2012 (0) ◽  
pp. _2P1-P08_1-_2P1-P08_2
Author(s):  
Takayuki ADACHI ◽  
Masahumi GOSEKI ◽  
Hiroshi TAKEMURA ◽  
Hiroshi MIZOGUCHI ◽  
Fusako KUSUNOKI ◽  
...  
2014 ◽  
Vol 1 ◽  
pp. 247-250
Author(s):  
Takayuki Adachi ◽  
Masafumi Goseki ◽  
Hiroshi Takemura ◽  
Hiroshi Mizoguchi ◽  
Fusako Kusunoki ◽  
...  

2013 ◽  
Vol 25 (4) ◽  
pp. 762-766
Author(s):  
Takayuki Adachi ◽  
◽  
Masafumi Goseki ◽  
Hiroshi Takemura ◽  
Hiroshi Mizoguchi ◽  
...  

The method proposed here for 3D position measurement and identification of individuals by integrating ultrasonic and Kinect sensors uses ultrasonic transmitter tags with unique identifiers. Ultrasonic sensors measure the 3D positions of and identify tagged individuals, but cannot make measurements if there are no receivers in the direction of ultrasonic waves from transmitters. Kinect sensors measure 3D positions of individuals and track them with OpenNI, but Kinect sensors cannot make measurements if occlusion occurs due to the overlapping of individuals. Evaluation results show that the method proposed here is more robust than methods only using either ultrasonic or Kinect sensors.


2012 ◽  
Author(s):  
Baekhee Lee ◽  
Yoon Chang ◽  
Kihyo Jung ◽  
Ilho Jung ◽  
Heecheon You

2006 ◽  
Author(s):  
Karim Abdel-Malek ◽  
Jasbir Arora ◽  
Jingzhou Yang ◽  
Timothy Marler ◽  
Steve Beck ◽  
...  

2021 ◽  
Vol 84 ◽  
pp. 103146
Author(s):  
Francis J. Emmatty ◽  
Vinay V. Panicker ◽  
K.C. Baradwaj

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3817
Author(s):  
Nicholas Wei-Jie Goh ◽  
Jun-Jie Poh ◽  
Joshua Yi Yeo ◽  
Benjamin Jun-Jie Aw ◽  
Szu Cheng Lai ◽  
...  

Fever is a common symptom of many infections, e.g., in the ongoing COVID-19 pandemic, keeping monitoring devices such as thermometers in constant demand. Recent technological advancements have made infrared (IR) thermometers the choice for contactless screening of multiple individuals. Yet, even so, the measurement accuracy of such thermometers is affected by many factors including the distance from the volunteers’ forehead, impurities (such as sweat), and the location measured on the volunteers’ forehead. To overcome these factors, we describe the assembly of an Arduino-based digital IR thermometer with distance correction using the MLX90614 IR thermometer and HC-SR04 ultrasonic sensors. Coupled with some analysis of these factors, we also found ways to programme compensation methods for the final assembled digital IR thermometer to provide more accurate readings and measurements.


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