Detecting an Offset-Adjusted Similarity Score based on Duchenne Smiles

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World of Secrets

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The Killing Call: 1. The death of a star 35:12

לפני 16 ימים35:12

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35:12

Sidhu Moose Wala explodes onto the Canadian music scene. His sound is a fusion of two worlds - hip-hop with the poetic language of rural Punjab, where he is from. After years of struggle he’s making it. But with the spotlight comes a dark side. As his fame grows, so do the threats. "We will kill you." Presented by broadcaster and DJ Bobby Friction and investigative journalist Ishleen Kaur. Season 8 of World of Secrets, The Killing Call, is a BBC Eye investigation for the BBC World Service. Archive audio credits: Lovepreet Waraich, Malwa TV, BritAsia TV, MPHONE Canteeni Mandeer, GK Digital, Thakur Media, Capital Extra, Famous Punjab TV, ModernSings, Dheeth.jeha, RealRohitBlogs, Mirror Now, India Today. Here’s a link to the BBC Eye two-part documentary films, which we recommend you watch after listening to this podcast: https://bit.ly/thekillingcall If you are in the UK, you can watch on iPlayer: https://www.bbc.co.uk/programmes/m002f18y…

לפני שנה 8:49

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תוכן מסופק על ידי Kai Kunze. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Kai Kunze או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Detecting interpersonal synchrony in the wild through ubiquitous wearable sensing invites promising new social insights as well as the possibility of new interactions between humans-humans and humans-agents. We present the Offset-Adjusted SImilarity Score (OASIS), a real-time method of detecting similarity which we show working on visual detection of Duchenne smile between a pair of users. We conduct a user study survey (N = 27) to measure a user-based interoperability score on smile similarity and compare the user score with OASIS as well as the rolling window Pearson correlation and the Dynamic Time Warping (DTW) method. Ultimately, our results indicate that our algorithm has intrinsic qualities comparable to the user score and measures well to the statistical correlation methods. It takes the temporal offset between the input signals into account with the added benefit of being an algorithm which can be adapted to run in real-time will less computational intensity than traditional time series correlation methods.

https://dl.acm.org/doi/10.1145/3544549.3585709

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#Science #Kai Kunze #Podcasting Education #Deep Dive