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Overview

Artificial emotional intelligence or Emotion AI is also known as emotion recognition or emotion detection technology. In market research, this is commonly referred to as facial coding.

Humans use a lot of non-verbal cues, such as facial expressions, gesture, body language and tone of voice, to communicate their emotions. Our vision is to develop Emotion AI that can detect emotion just the way humans do, from multiple channels. Our long term goal is to develop “MultimodalEmotion AI”, that combines analysis of both face and speech as complementary signals to provide richerinsightinto the humanexpression of emotion. For several years now, Affectiva has been offering industry leading technology for the analysis of facial expressions of emotions. Most recently, Affectiva has added speech capabilities now available to select beta testers ( learn more here ).

Our Emotion AI unobtrusively measures unfiltered and unbiased facial expressions of emotion, using any optical sensor or just a standard webcam. Our technology first identifies a human face in real time or in an image or video. Computer vision algorithms identify key landmarks on the face – for example, the corners of your eyebrows, the tip of your nose, the corners of your mouth. Deep learning algorithms then analyze pixels in those regions to classify facial expressions. Combinations of these facial expressions are then mapped to emotions.

In our products, we measure 7 emotion metrics: anger, contempt, disgust, fear, joy, sadness and surprise. In addition, weprovide 20 facial expression metrics. Inour SDK and API we also provide emojis, gender, age, ethnicity and a number of other metrics. Learn more about our metrics .

Our speech capability analyzes not what is said, but how it is said, observing changes in speech paralinguistics, tone, loudness, tempo, and voice quality to distinguish speech events, emotions, and gender.The underlying low latency approach is key to enabling the development of real-time emotion-aware apps and devices.

Our first speech based product is a nike blazer high vintage sale clip
that analyzes a pre-recorded audio segment, such as an MP3 file. The output fileprovides the analysis on speech events occurringin the audio segment every few hundred milliseconds and not just at the end of the entire utterance. An Emotion SDK that analyzes speech in real-time will be available in the near future.

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A horse race is organised at the Royal Turf Club in Dusit district, Bangkok. (File photo)

The Crown Property Bureau has demanded the Royal Turf Club leave the Nang Loeng horse-racing track in Dusit district, Bangkok, in 180 days or September after its lease expired 19 years ago.

Media reported that Anant Waiwitaya, a legal affairs official of the bureau, wrote to the club on Wednesday to demand the departure.

The letter referred to three lease contracts for the track, its five-storey stand, two six-storey parking buildings, a five-storey management building, a one-storey structure and a swimming pool.

The six-month contracts were signed on Sept 29, 1999. The rents range from 10,000-30,000 baht a month.

The bureau wrote that the club had to leave the compound within the set deadline because the bureau had to use the land and the buildings.

The horse-racing track was officially opened in 1916 or 102 years ago.

Initiatives to relocate it were discussed during the previous governments of Chuan Leekpai and Thaksin Shinawatra. Pattaya was once designated for its new location but the board of the Royal Turf Club cited financial constraints as a major obstacle.

In 2003, the relocation cost was estimated at about 1 billion baht.

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