Researchers at the University of North Carolina at Chapel Hill and the University of Maryland at College Park recently developed a deep learning software that can determine individuals moods based on their gait. This is done by analyzing a video of someone walking, converting it to a 3D model, and extracting their gait.
Once the dominant motions are determined, the software then cross-references its database to determine how the person feels. The deep learning software is able to narrow down one's emotion to four moods: happy, sad, angry, and neutral, and the AI technology boasts over 80% accuracy.
The research team hopes to be able to use deep learning to detect the public's emotion from runs, gestures, and to narrow detection into subtle emotions.
Emotion-Detecting Gait Technology
This New Deep Learning Software Can Detect Moods Based on Gait
Trend Themes
1. Emotion-detecting Gait Technology - This technology provides opportunities for developing mood-based marketing and targeted advertising strategies.
2. Deep Learning Software - Deep learning could revolutionize the healthcare industry by detecting patients' emotions and providing more appropriate treatment.
3. AI-powered Emotion Detection - AI technology could be utilized in security systems to detect potentially dangerous individuals based on their mood.
Industry Implications
1. Marketing and Advertising - Companies could use mood detection technology to personalize advertisements based on individual's emotions.
2. Healthcare - Using deep learning to detect emotions could lead to more effective mental health treatments.
3. Security and Surveillance - AI-powered emotion detection could be integrated into security systems to increase safety and prevent violent incidents.