Biometric Avatar: Socializing in the IoT Age

Abstract:

This diploma thesis delves into crafting a sophisticated digital avatar tailored for seamlessly amalgamating biometric data from cutting-edge devices like the OURA ring, Apple Watch, Withings scale, and blood pressure monitor with contextual cues from Google Maps, connected cars, and an array of IoT devices such as Wi-Fi and Z-wave connected gadgets, including Google Home. The digital avatar acts as a personalized conduit, intricately weaving together an individual’s biometric markers, daily activities, and surrounding context, then disseminating these insights on open-source social networks like Mastodon.

Introduction:

In the age of ubiquitous connectivity and IoT proliferation, individuals are enveloped by a web of interconnected devices capable of gathering an expansive array of data. Leveraging this trove of information, this thesis proposes the creation of a digital avatar system adept at assimilating biometric measurements alongside location data, travel patterns, and contextual cues, all orchestrated within the vast landscape of IoT.

Objectives:

• Devise a comprehensive framework for amalgamating biometric data sourced from advanced wearable devices such as the OURA ring and Apple Watch, alongside insights gleaned from health-monitoring devices like Withings scales and blood pressure monitors.
• Develop algorithms tailored for real-time analysis of biometric markers, contextual information from Google Maps and connected cars, and data streams from IoT devices, including Wi-Fi and Z-wave connected gadgets like Google Home.
• Implement a versatile digital avatar interface, proficient in representing the user’s amalgamated data and seamlessly interacting with external agents and software.
• Forge robust integrations between the digital avatar system and open-source social networks, enabling the dissemination of user-generated content and status updates within a community-driven environment.

Methodology:

The methodology encompasses a multifaceted approach:

• Requirements Analysis: Identify user preferences and requirements pertaining to biometric data integration, contextual awareness, and social interaction.
• System Design: Draft an encompassing architecture accommodating diverse data sources, biometric analysis algorithms, and social networking interfaces.
• Implementation: Employ suitable programming languages and frameworks to bring the envisioned system to life, incorporating APIs for seamless integration with wearable devices, health-monitoring tools, IoT ecosystems, and social networks.
• Integration: Integrate the digital avatar with an ensemble of devices, platforms, and services, ensuring seamless data flow and interoperability.
• Testing and Evaluation: Conduct rigorous testing to validate system functionality, reliability, and privacy safeguards. Assess user experience and the efficacy of the digital avatar in conveying pertinent insights to both the user and their social network.

Expected Contributions:

• Pioneering the development of a biometric-driven digital avatar system capable of orchestrating a harmonious blend of personal biometric data, contextual cues, and social interaction within the IoT landscape.
• Illuminating the challenges and opportunities inherent in integrating biometric measurements into digital avatars, alongside the intricacies of navigating IoT ecosystems and open-source social networks.
• Showcasing the transformative potential of biometric-driven digital avatars in personalized data representation and community engagement.

Conclusion:

This thesis endeavors to push the boundaries of personalized data representation and social interaction through the creation of a biometric-driven digital avatar system. By harnessing the power of cutting-edge wearable devices, health-monitoring tools, IoT ecosystems, and open-source social networks, the proposed system offers a novel conduit for individuals to express themselves, share insights, and engage with their communities in an increasingly interconnected world.