https://github.com/gagniuc/webcam-software-sampling

This Web Cam software saves images from the camera at regular time intervals. These images are samples used by the Photon-pixel coupling method. Thus, the images are further used here: https://github.com/Gagniuc/Prototype-software-for-Photon-pixel-coupling
https://github.com/gagniuc/webcam-software-sampling

sampling sensors vb6 webcam

Last synced: about 1 month ago
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This Web Cam software saves images from the camera at regular time intervals. These images are samples used by the Photon-pixel coupling method. Thus, the images are further used here: https://github.com/Gagniuc/Prototype-software-for-Photon-pixel-coupling

• Host: GitHub
• URL: https://github.com/gagniuc/webcam-software-sampling
• Owner: Gagniuc
• License: mit
• Created: 2021-10-29T18:21:57.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-11-17T07:14:17.000Z (over 3 years ago)
• Last Synced: 2025-03-04T22:24:56.286Z (about 1 year ago)
• Topics: sampling, sensors, vb6, webcam
• Language: VBA
• Homepage:
• Size: 3.16 MB
• Stars: 6
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

          
# :video_camera: WebCam software sampling

This is a WebCam software used in the Photon-pixel coupling method. The WebCam software takes images at equal intervals (user defined) and saves them as BMP files in a dedicated folder. These saved files are later used in the analysis by a software called [Vesta](https://github.com/Gagniuc/Prototype-software-for-Photon-pixel-coupling). The WebCam application is made in Visual Basic 6.0 (VB6). For more information, please read:

1) [Photon-pixel coupling: A method for parallel acquisition of electrical signals in scientific investigations](https://www.sciencedirect.com/science/article/pii/S2215016119300901)

2) [The electrical activity map of the human skin indicates strong differences between normal and diabetic individuals](https://www.sciencedirect.com/science/article/abs/pii/S0956566318306663)

3) [Maps of electrical activity in diabetic patients and normal individuals](https://www.sciencedirect.com/science/article/pii/S2352340918312204)

![screenshot](https://github.com/Gagniuc/WebCam-software-sampling/blob/main/WebCam%20software%20(2).PNG)

![screenshot](https://github.com/Gagniuc/WebCam-software-sampling/blob/main/WebCam%20software%20(3).PNG)

![screenshot](https://github.com/Gagniuc/WebCam-software-sampling/blob/main/WebCam%20software%20(1).PNG)

# References

- Gagniuc, P.A., Ionescu-Tirgoviste, C., Gagniuc, E.. Photon-pixel coupling: a method for parallel acquisition of electrical signals for scientific investigations. Methods X, 6(2019) 968-979.

- Constantin IONESCU-TIRGOVISTE*, Paul A. GAGNIUC*, Elvira Gagniuc. The electrical activity map of the human skin indicates strong differences between normal and diabetic individuals: A gateway to onset prevention. Biosensors and Bioelectronics, 120 (2018) 188–194. 

- Ionescu-Tirgoviste, C., Gagniuc, P.A., Gagniuc, E.. Maps of electrical activity in diabetic patients and normal individuals.  Data Brief. 2018, 21: 795–832.