3D Human Movement Data for Empathic Communication
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Solution Overview
Problem
Current communication technologies fail to effectively convey and interact with three-dimensional (3D) human movement data, limiting the expression and understanding of body language, which is essential for empathy and social connection, and lack standardization in psychedelic-assisted therapy (PAT) and body-image therapy (BIT), leading to inefficiencies in mental health treatments.
Innovation Solution
The use of 3D human movement data to create interactive and synesthetic communication methods, integrating biometric and movement data into mental health therapies like PAT and BIT, allowing for the capture, analysis, and integration of movement markers to inform therapeutic treatment and enhance patient outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If current communication technologies are used, then verbal and written language can be conveyed, but body language and non-linguistic communication are lost
Solution Approach 1:
The patent creates a digital copy of 3D human movement data that captures body language and non-linguistic communication signals. This copy can be transmitted and reproduced without degrading the original movement data, allowing preservation of body language information that would otherwise be lost in traditional communication.
Solution Approach 2:
The patent transitions from 2D video representations to 3D movement data, adding spatial and dimensional information that captures the full complexity of body language. This dimensional enhancement enables representation of three-dimensional movements, gestures, and spatial relationships that are lost in conventional communication media.
2Reliability
If 3D human movement data is captured and analyzed, then empathy and social connection are enhanced, but data processing complexity increases
Solution Approach 1:
The patent segments the complex 3D movement data into distinct body parts and movement types (e.g., facial expressions, hand gestures, body posture). This segmentation allows systematic analysis of specific non-linguistic cues that convey empathy and social connection, reducing the complexity of processing the overall complex data.
Solution Approach 2:
The system provides feedback by analyzing 3D movement data and generating insights about emotional states and social interactions. This feedback loop enables real-time understanding of body language cues, enhancing empathy and social connection while managing processing complexity through targeted analysis.
3Productivity
If psychedelic-assisted therapy and body-image therapy lack standardization, then treatment flexibility is maintained, but treatment efficacy is reduced
Solution Approach 1:
The patent introduces standardized parameters for capturing and measuring body language and movement data in therapeutic contexts. These parameters provide consistent metrics for assessing therapy progress and effectiveness, transforming flexible, unstandardized treatment approaches into systematically measurable interventions that improve efficacy.
Solution Approach 2:
The patent creates a universal framework that can be applied across different therapy types (psychedelic-assisted therapy, body-image therapy) and clinical scenarios. This multi-functional standardization system enables consistent measurement and evaluation while maintaining the flexibility needed for diverse therapeutic approaches.
4Loss of information
If 3D movement data is integrated into communication, then emotional expression is enhanced, but communication bandwidth requirements increase
Solution Approach 1:
The patent extracts key emotional and communicative information from 3D movement data, separating the essential emotional expression from the full complexity of movement data. This extraction allows transmission of emotionally rich content using reduced data volumes, maintaining emotional expression while lowering bandwidth requirements.
Solution Approach 2:
The system transforms detailed 3D movement data into compressed representations that capture emotional essence through key parameters (e.g., movement trajectory, speed, amplitude, spatial position). This parameter transformation maintains emotional expression while significantly reducing the quantity of data needed for transmission.
Data Source
AI summary
Described herein are methods and systems for using three-dimensional (3D) human movement data as an interactive and synesthetic means of communication that allows body language to be shared between and among individuals and groups, permitting never-before-seen means of expressivity and sharing, and forming the basis for a novel type of media having numerous applications, for example as part of or to enhance the application of psychedelic-assisted therapy, especially where such therapy incorporates augmented or virtual reality. Further described are methods and systems for biomarker-augmented mental health therapies, including psychedelic-assisted and body-image therapies, where such therapies are personalized for a particular user through the creation of personalized sets of diagnostic and therapeutic biomarkers and protocols, customized based on a variety of biometric and other data, including 3D human movement data and a user's mental health history, and in some aspects where such methods and systems promote and protect privacy and consent.