The aim of this research paper is to provide a prototype for the future’s smart wearable earplug. Users will be able to wirelessly receive audio response from an application on mobile devices such as smart phones. Users can communicate by speech recognition technology or through in-ear Electroencephalogram EEG signal sensors with the application. The earplug is able to detect physiological parameters such as body temperature, pulse rate, measure oxygen level in the blood and stress, and generate notifications to users. Integration with the promising 5G technology is considered to provide better communication and data transmission between the servers on the internet. Human factors including friendliness, obtrusiveness, privacy, customization, reliability and wearability are observed. The smart earplug is being targeted for large population of users including aging people and people with disabilities such those who have memory disorder and patients’ in need to monitor their physiological parameters. It can be used also by general people to receive notifications, reminders and provide ubiquity interaction experience between users and devices. This research has achieved providing prototype of smart, wearable, and ubiquity earplug, and the implementation will be accomplished in future research.