Advancing Image Processing Techniques for Human Energy Field Measurement During Sound Therapy

Liew, Zi Jun (2024) Advancing Image Processing Techniques for Human Energy Field Measurement During Sound Therapy. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

To enhance whole-person health understanding, this thesis refined the implemented image processing methods for detecting human energy fields during sound therapy sessions. Improvements to the algorithm now allow for better recording of subtle energy field changes and more effective color variation analysis. The study addressed previous algorithm limitations, finding optimal conditions include centralized lighting, non-reflective backgrounds, and subjects wearing white clothing to avoid data skewing. These enhancements deepen understanding of sound therapy’s effects on human energy fields, support evidence-based practices, and promote further research, with initial findings suggesting new opportunities for personalized well-being interventions and bridging holistic practices with scientific investigation