Facial expression analysis for human-computer interaction, driver condition monitoring, or user emotional condition monitoring has always been a very important topic in emotion detection. Humans have several emotions, and different emotions have different facial expressions. For example, when a person is happy, they have smiles and eyes, and when they are angry or sad, they may frown. Once the system identifies the user's facial expression, the appropriate action is taken. This paper presents a framework for using raspberry features to develop emotion recognition systems. Use the Raspberry Pi's camera module to detect the user's facial expressions and use Microsoft's emotion detection API to identify the user's emotions. If the detection result is an emotion of anger or sadness, the system will send soft music and softly adjust the light to smooth the person's mood. The results of the experiment showed that the system can interact with the user's emotions.
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Component List
- raspberry pi
- Webcam
- Powersupply
- Jumpers and wires
Features
- Detects the human facial emotions with the help of expression
- Very benificial in hostels and professional areas to detect the mood of person and suggest the menue or music or helps Hr depertment
