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Magic Mirror (Emotion Detection) on Raspberry Pi

FULL Instruction: https://hackmd.io/oVM72SVPRoqVmf_wHZwZ0g :::info This is a Course Project, which based on IOT Technique. Course: Internet of Things Practical (IM5032) Author: Pokémon Trainer

:::

:::danger Code: https://github.com/BanNel/NCUCourse-RaspberryPi/tree/master/IOTProject ⚠️ The code in this project is based on several author. For the detail, please check the references. :::

🐘 Overview

It is a Magic Mirror (Emotion Detection), which can detect user’s emotion and give some feedback (Quote).

Usage Example Usage Example Usage Example

🉐 Usage

This Project has two part: Screen Side and Control Side.

The magic mirror have three kinds of mode, Real Mirror mode, Camera mode and another is the Encourage Quote mode.

Screen Side

Real Mirror mode Camera mode Encourage Quote mode
Display the black background on screen, to pretend as the mirror. Show the real time camera on the screen It can detect user’s emotion and give some encourage quote.

Control Side (control by Website)

Control Running mode Monitor Camera
Change the Mode On Screen Show the real time camera via website

Hardware

  • Raspberry Pi Model 3B
  • Wi-Fi
  • Monitor (Screen)
  • Intel® Neural Compute Stick 2 (Intel® NCS2)
  • One Way Vision Glass Sticker (optional)

Software

  • Python 3.7
  • Open-Vino (4.1.2-openvino)

🎊 Code Reference

:::success Thanks for all the Source, without you I couldn't make it perfect. :::

Website Templates

Pi Camera on Flask (Real time)

Emotion Detection on Raspberry Pi

🌵 Research Reference

  • Richman, L. S., Kubzansky, L., Maselko, J., Kawachi, I., Choo, P., & Bauer, M. (2005). Positive emotion and health: going beyond the negative. Health psychology, 24(4), 422.
  • Tsujita, H., & Rekimoto, J. (2011, September). Smiling makes us happier: enhancing positive mood and communication with smile-encouraging digital appliances. In Proceedings of the 13th international conference on Ubiquitous computing (pp. 1-10). ACM.
  • Moore, G., Galway, L., & Donnelly, M. (2017, May). Remember to smile: design of a mobile affective technology to help promote individual happiness through smiling. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare (pp. 348-354). ACM.

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