Top 9 manufacturers in Emotion Analytics Market
Updated 07:20:19 March 30, 2020
Prof Resear published a new Market report on Emotion Analytics Market. It present the largest 9 manufacruers in Emotion Analytics Market. The report is a professional and in-depth study on the current state of the global Emotion Analytics market with a focus on the Chinese market. The report provides key statistics on market of Emotion Analytics. It is a valuable source of guidance and direction for companies and individuals interested in Emotion Analytics industry.
.
Microsoft
Ref A: C3B69C96C01F4030B38DC55A7B4F8F5F Ref B: SJCEDGE0410 Ref C: 2020-03-30T11:20:01Z
IBM
Ref A: 841186842065483D95E3390CE3B36EEB Ref B: SJCEDGE0220 Ref C: 2020-03-30T11:20:05Z
Retinad Virtual Reality
Ref A: B509233F100D4723B919D7F259C90C6B Ref B: SJCEDGE0419 Ref C: 2020-03-30T11:20:07Z
Neuromore
Ref A: 788554E392E04FF9A73016BF19EB9A71 Ref B: SJCEDGE0210 Ref C: 2020-03-30T11:20:08Z
Imotions A/S
Ref A: F3965B580AB041CAAFA751C6755BEA07 Ref B: SJCEDGE0419 Ref C: 2020-03-30T11:20:08Z
Kairos
Ref A: 46179336D08440C49206EAC531320E8D Ref B: SJCEDGE0216 Ref C: 2020-03-30T11:20:10Z
Beyond Verbal
Ref A: 2E1E08E7E189458C8C07391A68041B3A Ref B: SJCEDGE0209 Ref C: 2020-03-30T11:20:14Z
Affectiva
Ref A: 63141D93E88E476380BE9CA309F41A1C Ref B: SJCEDGE0222 Ref C: 2020-03-30T11:20:15Z
Eyris (EmoVu)
Corporate Profile . EyRIS develops and deploys AI Deep Learning System (DLS) in healthcare industry. DLS, a breakthrough machine learning technology, utilize representation-learning methods with multiple levels of representation to process natural data in their raw form, recognizing the intricate structure in high-demensional data. Key Features * Emotion Recognition - This module produces continuous intensity measurement for seven universal expressions including joy, anger, sadness, surprise, disgust, fear, and neutral. The Most Comprehensive Portfolio of Computer Vision Neural Networks for In-Vehicle Scene Understanding AI World’s Largest In-vehicle Dataset We’ve amassed over the years remarkable amounts of facial, body, surface and objects data from various vehicle interior sizes, in different environments, under different lighting conditions, and with different camera types and positions. This data ...