# 180. Catching Feelings with 69% Accuracy: AI Reads Emotions in Sports

- Show: [The Next Byte Podcast](https://hardwarepodcasts.com/podcast/the-next-byte-podcast)
- Published: 2024-06-25
- Length: 17m
- Page: https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-06-25-180-catching-feelings-with-69-accuracy-ai-reads-emotions-in-sports
- Listen: https://the-next-byte-wevolver.simplecast.com/episodes/180-catching-feelings-with-69-accuracy-ai-reads-emotions-in-sports-J8_RKsol

## Summary

Hosts Daniel and Forbode discuss an AI system that reads human emotions in sports with 69% accuracy, using a convolutional neural network trained on 15 tennis players. The hosts analyze why tennis was chosen for its structured, short-sport spurts and how the model identifies body language and facial cues to detect emotions like burnout or frustration. They explore applications in coaching, sports betting, and potentially customer service, while noting the ethical implications of privacy and cultural biases in emotion detection.

## Chapters

- [0:00](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-06-25-180-catching-feelings-with-69-accuracy-ai-reads-emotions-in-sports#t=0) Introduction: AI emotion detection in sports
- [1:44](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-06-25-180-catching-feelings-with-69-accuracy-ai-reads-emotions-in-sports#t=104) Why tennis? Dataset specificity and structure
- [3:01](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-06-25-180-catching-feelings-with-69-accuracy-ai-reads-emotions-in-sports#t=181) Methodology: Convolutional neural networks and body language
- [5:43](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-06-25-180-catching-feelings-with-69-accuracy-ai-reads-emotions-in-sports#t=343) Applications: Coaching, burnout, and sports betting
- [7:41](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-06-25-180-catching-feelings-with-69-accuracy-ai-reads-emotions-in-sports#t=461) Human vs. AI: Detecting negative vs. positive emotions
- [10:29](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-06-25-180-catching-feelings-with-69-accuracy-ai-reads-emotions-in-sports#t=629) Scaling challenges: Culture, ethnicity, and personality
- [13:00](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-06-25-180-catching-feelings-with-69-accuracy-ai-reads-emotions-in-sports#t=780) Future applications: Road rage and customer service
- [14:09](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2024-06-25-180-catching-feelings-with-69-accuracy-ai-reads-emotions-in-sports#t=849) Ethical considerations and privacy

## Topics

- [AI & machine learning](https://hardwarepodcasts.com/topic/ai-and-machine-learning)
- [Sensors & measurement in products](https://hardwarepodcasts.com/topic/sensors)
- [Security & privacy](https://hardwarepodcasts.com/topic/security-and-privacy)

## Most relevant to

makers and hobbyists

## Mentioned

- Wevolver (company)

## Related episodes from other shows

- [Ep. 20: The Future of Emotional Intelligence: A Conversation with Blueskeye Co-Founder Michael Valstar](https://hardwarepodcasts.com/podcast/the-robo-success-podcast/2026-10-06-ep-20-the-future-of-emotional-intelligence-a-conversation-with-blueskeye-co-foun) (The Robo Success Podcast)
- [Generative AI and Emotional Intelligence | millionways' Martin Cordsmeier & Max Weidemann | Internet of Things Podcast](https://hardwarepodcasts.com/podcast/iot-for-all-podcast/2023-06-08-generative-ai-and-emotional-intelligence-millionways-martin-cordsmeier-max-weide) (IoT For All Podcast)

## Citing this page

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