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== Affective Computing Patent Application Filing Activity ==
== Affective Computing Patent Application Filing Activity ==
== Affective Computing patent applications in 2025 ==
== Affective Computing patent applications in 2025 ==
= Affective Computing Patent Trends 2025 =
== What is Affective Computing? ==
Affective computing is a field of technology that focuses on developing systems that can recognize, interpret, process, and respond to human emotions. Think of it as teaching computers to understand and react to how people feel. This technology combines elements of computer science, psychology, and cognitive science to create more emotionally intelligent machines.
For example, this could include systems that:
* Detect frustration in a driver's face and provide safety alerts
* Analyze customer sentiment in written feedback
* Create more natural and empathetic AI assistants
* Help assess emotional states in educational environments
* Enable more emotionally aware virtual avatars
== Current Trends ==
=== Leading Companies ===
Several major organizations are actively developing affective computing technologies. Notable players include:
* The Third Research Institute of Ministry of Public Security - Working on driver emotion detection systems
* Mashang Consumer Finance - Developing sentiment analysis tools
* Amazon Technologies - Creating global sentiment analysis systems
* Juniper Networks - Using sentiment analysis for network trust assessment
* The University of Hong Kong - Developing dialogue systems for cognitively impaired adults
=== Key Technology Areas ===
The primary focus areas in affective computing patents include:
* Digital data processing and sentiment analysis
* Image and video recognition for emotion detection
* Vehicle safety systems incorporating driver emotion monitoring
* Natural language processing for emotional content
* Educational applications of emotion recognition
=== Geographic Distribution ===
The innovation hubs for affective computing show a global spread, with significant activity in:
* China (Chongqing, Wuhan, Shanghai)
* United States (Seattle, San Francisco, Redmond)
* Hong Kong
* Canada (Toronto, Montreal)
=== Emerging Applications ===
New areas of development include:
* Educational metaverse applications with emotional avatars
* Vehicle safety systems that respond to driver emotions
* Sentiment-based indexing for communications
* Customer service applications
* Network security systems that incorporate emotional analysis
The field shows particular growth in applications that combine emotional intelligence with practical, everyday technologies, suggesting a move toward more emotionally aware computing systems in daily life.
The trends indicate a growing recognition of the importance of emotional intelligence in technological systems, with applications spanning from safety and security to education and customer service.
[[File:Affective_Computing_Monthly_Patent_Applications_2025_-_Up_to_January 2025.png|border|800px]]
[[File:Affective_Computing_Monthly_Patent_Applications_2025_-_Up_to_January 2025.png|border|800px]]



Revision as of 16:49, 19 February 2025

Affective Computing Patent Application Filing Activity

Affective Computing patent applications in 2025

Affective Computing Patent Trends 2025

What is Affective Computing?

Affective computing is a field of technology that focuses on developing systems that can recognize, interpret, process, and respond to human emotions. Think of it as teaching computers to understand and react to how people feel. This technology combines elements of computer science, psychology, and cognitive science to create more emotionally intelligent machines.

For example, this could include systems that:

  • Detect frustration in a driver's face and provide safety alerts
  • Analyze customer sentiment in written feedback
  • Create more natural and empathetic AI assistants
  • Help assess emotional states in educational environments
  • Enable more emotionally aware virtual avatars

Current Trends

Leading Companies

Several major organizations are actively developing affective computing technologies. Notable players include:

  • The Third Research Institute of Ministry of Public Security - Working on driver emotion detection systems
  • Mashang Consumer Finance - Developing sentiment analysis tools
  • Amazon Technologies - Creating global sentiment analysis systems
  • Juniper Networks - Using sentiment analysis for network trust assessment
  • The University of Hong Kong - Developing dialogue systems for cognitively impaired adults

Key Technology Areas

The primary focus areas in affective computing patents include:

  • Digital data processing and sentiment analysis
  • Image and video recognition for emotion detection
  • Vehicle safety systems incorporating driver emotion monitoring
  • Natural language processing for emotional content
  • Educational applications of emotion recognition

Geographic Distribution

The innovation hubs for affective computing show a global spread, with significant activity in:

  • China (Chongqing, Wuhan, Shanghai)
  • United States (Seattle, San Francisco, Redmond)
  • Hong Kong
  • Canada (Toronto, Montreal)

Emerging Applications

New areas of development include:

  • Educational metaverse applications with emotional avatars
  • Vehicle safety systems that respond to driver emotions
  • Sentiment-based indexing for communications
  • Customer service applications
  • Network security systems that incorporate emotional analysis

The field shows particular growth in applications that combine emotional intelligence with practical, everyday technologies, suggesting a move toward more emotionally aware computing systems in daily life.

The trends indicate a growing recognition of the importance of emotional intelligence in technological systems, with applications spanning from safety and security to education and customer service.

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Top Technology Areas in Affective Computing

Top CPC Codes

Top Companies in Affective Computing

THE THIRD RESEARCH INSTITUTE OF MINISTRY OF PUBLIC SECURITY

MASHANG CONSUMER FINANCE CO., LTD.

ACUITY INSIGHTS INC.

The University of Hong Kong

Schlumberger Technology Corporation

Juniper Networks, Inc.

OPEN TEXT CORPORATION

Amazon Technologies, Inc.

Mitel Networks Corporation

Insight Direct USA, Inc.

New Companies in Affective Computing (Last Month)

File:New Companies in Affective Computing Last Month.png

No new companies detected in the last month.

Emerging Technology Areas in Affective Computing

Top Companies in Emerging Affective Computing Technologies

Top Inventors in Affective Computing

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Caixia Liu

Zhichao XIA

Xin WANG

Bing XIAO

Quan LU

Ning JIANG

Haiying WU

Cole WALSH

Okan BULUT

Alexander MACINTOSH

Chuan WU

Jiyue JIANG

Sheng WANG

Lingpeng KONG

Omkar Anil Gune

Purnaprajna Raghavendra Mangsuli

Charles Damian O'Neill

Simon James

Kieran Gerald McPeake

Hayden Paul Shorter

Paul O’Hagan

Isidre Royo Bonnin

Robert Kapitan

Ravinder Reddy Yeddla

Renaud Levert

Sunil Mallya Kasaragod of San Francisco CA (US)

Abhinav Goyal of Snohomish WA (US)

Yahor Pushkin of Redmond WA (US)

Srikanth Doss Kadarundalagi Raghura of Seattle WA (US)

Rishita Rajal Anubhai of Seattle WA (US)

Kasturi Bhattacharjee of Sunnyvale CA (US)

Smaranda Muresan of New York NY (US)

Siddharth Chaitanyakumar Varia of Northville MI (US)

Federico Torreti of Seattle WA (US)

Birendra Kumar Sahu

Logendra Naidoo

Jason Rader of Jacksonville FL (US)

David McCurdy of Centennial CO (US)

Dejian LIU

Yan GE

Jing PENG

Zheng ZHONG

Jian XU

Top Collaborations in Affective Computing

Top US States for Affective Computing Inventors


Top Cities for Affective Computing Inventors

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  • Chongqing: 6 inventors
  • Hong Kong: 4 inventors
  • Toronto: 3 inventors
  • Seattle: 3 inventors
  • Wuhan: 3 inventors
  • Pune: 2 inventors
  • Fuzhou: 2 inventors
  • Shanghai: 1 inventors
  • Ballymena: 1 inventors
  • Newtownards: 1 inventors
  • Belfast: 1 inventors
  • Bangor: 1 inventors
  • Brooklin: 1 inventors
  • Terrassa: 1 inventors
  • Lachine: 1 inventors
  • Hyderabad: 1 inventors
  • Montreal: 1 inventors
  • San Francisco: 1 inventors
  • Snohomish: 1 inventors
  • Redmond: 1 inventors

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