INPUT_01
Physiological
HRV registers dynamic shifts between rhythm, breath, and autonomic state.
States reorganize system behavior in real time.
States reorganize system behavior in real time.
BioSymphony
Bio-Kinetic Performance System
SYSTEM_INTENT // v4.0
What This System Does
BioSymphony is a research and performance system where internal physiological signals generate sonic and visual environments in real time.
The body functions as INPUT.
The system translates internal states into measurable and perceptible OUTPUT.
The Body as Source
Physiological Signal Architecture
Physiological activity functions as compositional material.
Heart rate variability, breath, neural activity, and movement operate as inputs shaping timing, structure, and intensity.
The system renders internal dynamics as external environment.
HRV
Breath
Neural
Motion
Signal Chain
INPUT_01
INPUT_02
Embodied
Percussive movement generates kinetic signal through velocity, pressure, and position.
Gesture registers as system input.
Gesture registers as system input.
FUTURE // 03
Neural
EEG signals extend the system into neural activity. Cognition registers as signal within output.
System Dynamics
Operational Flow
Signal →
Translation →
Output →
Feedback
"Internal state becomes environment.
Environment feeds back into the system."
PROCESS_LOG // v.04
Translation Engine
Signal Processing
Multi-modal input streams are processed through a custom signal architecture.
Python-based processing integrates:
- librosa
- MNE
- SciPy
Signals map to sonic parameters, visual structures, and temporal behavior.
Ableton Live functions as the real-time performance engine.
Python
librosa
MNE
SciPy
Ableton Live
MODULATION_LAYER // 0.6
System Behavior
State Modulation
Physiological and kinetic inputs register as state shifts.
State transitions register within the system.
Not all states resolve.
Some intensify. Some fragment. Some synchronize.
Mode_01
Fragmentation
Mode_02
Synchronization
Mode_03
Coherence
Mode_04
Tension & Release
Applications
Research
Environments
Performance
Systems
Neuroscience &
Cognitive Studies
Human–Machine
Interaction
Collective Signal
Environments
Future Integration
Protocols
System Expansion
Current Development
EEG integration extends the signal chain, linking neural activity with real-time generative environments.
The system evolves through live performance, data capture, and iterative refinement.
TERMINAL_OUT // v.10
Framework Orientation
The body generates signal
→
The system translates it
→
Perception encounters it
Core Statement
BioSymphony renders internal dynamics measurable, audible, and visible.
PROTOCOL // ENTRY_POINT
Initiate System Collaboration
Research residencies
Institutional collaboration
Experimental performance systems
STATUS: CONNECTION_PENDING_...