Emotionally-Related Song Playing System for Users that Makes Use of Force Sensor

A user's mood is just as important as their past tastes or the type of music they listen to when deciding what to play. In order to discover a user's emotional state from signals collected by wearable physiological sensors, this research suggests a framework for music recommendations based on emotions. Specifically, a wearable computer that incorporates a Force sensor may identify the user's emotional state. Any recommendation engine that relies on collaboration or content can use this emotional data as supplemental information. You can use this data to make the recommendation engines that are already out there even better. In our suggested system, we want to detect the user's emotions and play music automatically based on those feelings. The sensors we've supplied act as the user's biological mental signal, which it then converts into an equivalent electrical signal. The music player then plays the songs based on this electrical signal. In the future, wearable gear can be used to improve this system even further. The bracelet has a built-in force sensor that can detect an emotional signal and provide music recommendations based on that reading.