The startup develops smart emotion computing wristbands that utilize biosignal sensors to classify player emotions in real-time. This data is processed in the cloud to dynamically adjust game sequencing, creating an interactive gaming experience that responds to the player's emotional state.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Game developers currently lack direct insight into players' emotional states during gameplay, hindering their ability to create truly adaptive and deeply engaging experiences. Existing methods for gathering player feedback are often indirect, relying on post-game surveys or aggregated telemetry data that doesn't capture the nuances of real-time emotional responses. This limits the potential for personalized and emotionally resonant gameplay.
Solution
Ovomind provides a wearable biosensor and AI-powered platform that enables real-time emotion-driven gaming experiences. The Ovomind DK1 smartband captures player's physiological signals, including heart rate, skin conductance, and skin temperature, and transmits this data to the cloud. Using affective computing and generative AI, the platform analyzes these biosignals alongside audiovisual embeddings and in-game events to generate a precise emotional mapping of the player. This data is then visualized through an intuitive dashboard and can be integrated into game engines via a software development kit (SDK), allowing developers to create games that dynamically adapt to the player's emotional state.
Target Audience
The primary target audience includes game developers seeking to create more immersive and personalized gaming experiences, as well as streamers looking to enhance audience engagement with real-time emotional feedback.
Features
- Ovomind DK1 smartband with biosensors for real-time capture of physiological data (PPG, GSR, skin temperature)
- Cloud-based AI engine that transforms biosignals into emotion data, visualized in a 2D space (Arousal and Valence)
- Real-time emotional HUD for developers to monitor player emotions
- Adaptive gameplay design enabling games to respond dynamically to player emotions
- SDK for seamless integration with Unity, Unreal Engine, and Godot
- Affective GenAI-Powered Pipeline that integrates with large language models (LLMs) to translate real-time emotional data into dynamic, AI-generated content
- Generation of emotion heatmaps to enhance player engagement and tailor experiences