BIOSYMPHONY
The body composes.
signal_chain: body → environment
A bio-kinetic performance system translating heart rate variability, breath, and movement into real-time generative sound and image.
BioSymphony
Bio-Kinetic Performance System
Project Overview 01
The body becomes the instrument.
BioSymphony is an interdisciplinary research and performance project investigating how internal physiological states can function as compositional material.
The current phase, BioSymphony: The Heart, translates heart rate variability, respiration, and embodied movement into real-time generative sound and visual environments.
By rendering normally invisible biological processes perceptible, the project creates a feedback loop between physiology, technology, environment, and human perception.
Body
Signal
Translation
Environment
Perception
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
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.
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_...