Moment is a smartphone app that frames itself as a “Shazam for stress detection”: instead of reviewing your day after you’ve already spiraled, it tries to catch stress as it forms and nudge you back to baseline in real time. The core idea is multimodal sensing—natural language processing on spoken voice plus biometrics like heart rate from a smartwatch—so the system can estimate an “in-the-moment” emotional state and trigger a gentle haptic prompt to breathe, slow down, or reset. https://feelthemoment.ai/
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Under the hood, this sits in the affective-computing space: speech emotion recognition using vocal biomarkers (prosody, speech rate, pitch dynamics, pause patterns) combined with physiological signals such as heart rate and heart-rate variability, fused into a single stress/trigger signal. A useful way to think about it is a just-in-time adaptive intervention pipeline: sense → infer → intervene → learn, updating around your personal baseline rather than a generic population average. The interview was filmed at Web Summit Lisbon 2025, and it focuses on making that loop feel immediate and practical in daily life, not clinical or heavy loop.
A second layer is reflective analytics: the dashboard highlights patterns like “defensive” communication, correlating moments in your speech with spikes in biometrics so you can see what tends to trigger you. Instead of sending you to search the internet, the app concept is to deliver curated, situation-specific coaching content—micro-guidance tied to the detected pattern—plus an “emotional intelligence” score you can review for a workday window like 9-to-5 work.
The team says they’re actively looking for collaboration partners—developers working on NLP, wearable biometrics, and AI modeling—to improve accuracy, personalization, and product readiness over the next months before engaging investors. For something that listens and infers mental state, the hard problems are also the important ones: privacy-by-design, explicit consent, safe data handling, false positives, and bias across accents and cultures, alongside validation against real-world ground truth rather than demos alone, with care.
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