Logo :
Project owner's name :
Mr Abdelwahap Moustafa
Mr Abdelwahap Moustafa
Country of deployment for the project :
Egypt
Egypt
Sector :
Other
Other
What problem does your company want to solve? :
Human-computer interactions are increasing but lack the depth of human-human interactions, especially in capturing emotions.
Human-computer interactions are increasing but lack the depth of human-human interactions, especially in capturing emotions.
What solution does your company provide? :
We provide Emotion-as-a-Service (EaaS) to analyze human emotions and offer insights into consumer emotional engagement with products, services, and content.
We provide Emotion-as-a-Service (EaaS) to analyze human emotions and offer insights into consumer emotional engagement with products, services, and content.
Describe your project :
We bring emotional intelligence to the digital world to understand how consumers emotionally engage with products, services and content. Our AI Emotion Analysis Tool, utilising BioSignals data from Wearables to predict Human Emotions/Moods in real-time and provide Biofeedback Alongside Existing Tools Like Facial Expressions. Target Audience: Companies seeking to understand their consumer engagement with their digital content, service and product. The dimensions could involve: 1. Media Analytics (ads, shows, movies) 2. Market Research/Consumer Behavior(understand consumer reactions/behaviors to products, shopping experience, or brand messaging) 3.Human-Computer Interaction (eg. gaming, music, social robots, autonomous cars, research) Competitors: Solutions based on Facial like SmartEye Solutions based on Vocal like Hume AI Solutions based on self-reported data like UserTesting Solutions based on biosignals like iMotions Competitive Edge: Current emotion AI tools rely on facial expressions, which comes with limitations like Social Masking & Cultural Differences. Physiological data offers direct insights into a person's true state, unlike external modalities like video or audio. For instance, someone can fake happiness in a picture, but they can't fake/manipulate their heart rate.
We bring emotional intelligence to the digital world to understand how consumers emotionally engage with products, services and content. Our AI Emotion Analysis Tool, utilising BioSignals data from Wearables to predict Human Emotions/Moods in real-time and provide Biofeedback Alongside Existing Tools Like Facial Expressions. Target Audience: Companies seeking to understand their consumer engagement with their digital content, service and product. The dimensions could involve: 1. Media Analytics (ads, shows, movies) 2. Market Research/Consumer Behavior(understand consumer reactions/behaviors to products, shopping experience, or brand messaging) 3.Human-Computer Interaction (eg. gaming, music, social robots, autonomous cars, research) Competitors: Solutions based on Facial like SmartEye Solutions based on Vocal like Hume AI Solutions based on self-reported data like UserTesting Solutions based on biosignals like iMotions Competitive Edge: Current emotion AI tools rely on facial expressions, which comes with limitations like Social Masking & Cultural Differences. Physiological data offers direct insights into a person's true state, unlike external modalities like video or audio. For instance, someone can fake happiness in a picture, but they can't fake/manipulate their heart rate.
Presentation video :