Research Program

From Observation to Evidence

SeaKing Solace is developing a multi-phase scientific research program to investigate how natural multidimensional motion influences human physiology.

Rather than beginning with assumptions about which motion patterns or physiological responses matter most, the program begins by measuring them directly.

Each phase builds upon discoveries made during the previous phase, progressively reducing uncertainty before advancing toward clinical translation.

Scientific foundation

Why This Research Exists

The first five SeaKing scientific reviews examined the biological, methodological, and engineering questions that must be resolved before motion can be studied responsibly as a candidate intervention.

What the reviews established

  1. 01

    Natural motion is fundamentally different from simplified laboratory motion.

  2. 02

    Autonomic physiology cannot be characterized using a single biomarker.

  3. 03

    Neuroplasticity, adaptation, retention, transfer, and therapeutic benefit are distinct scientific questions.

  4. 04

    Motion-rich interventions produce measurable effects while revealing major gaps in physical stimulus characterization.

The opportunity

Natural multidimensional motion should first be measured, characterized, and related to synchronized physiological responses before attempting optimization or therapeutic translation.

Research roadmap

A Stage-Gated Path From Evidence to Translation

Each stage answers a different question. Progression depends on what the preceding evidence supports, not on a predetermined conclusion.

  1. Phase 1 · Discover

    What relationships actually exist between natural multidimensional motion and human physiology?

    Phase 1 begins without assuming which motion characteristics or physiological signals will prove important.

    Natural vessel motion, participant head motion, cardiovascular physiology, autonomic physiology, participant state, and environmental context are recorded on a common synchronized timeline. The objective is discovery.

    1. Vessel 6-DoF
    2. Head 6-DoF
    3. Synchronized Physiology
    4. Response Discovery

    Phase 1 asks

    • Which motion characteristics are reproducibly associated with physiological change?
    • Does vessel motion predict response, or does participant head motion provide the more informative exposure measure?
    • Which physiological signals provide reproducible information?
    • Which measurements add little or no unique value?
    • Are useful signals found individually or in combinations?
    • Do candidate relationships reproduce within the same participant across repeated sessions?

    Representative data classes

    Motion

    • Vessel 6-DoF
    • Head 6-DoF

    Cardiovascular

    • Continuous ECG
    • Beat-to-beat blood pressure
    • HR, HRV, and derived measures

    Autonomic & Physiological

    • Pupillometry
    • SSNA measurement where technically feasible
    • Electrodermal activity
    • Respiration
    • Peripheral physiology
    • Other validated channels incorporated during final protocol development

    Context

    • Posture
    • Symptoms
    • Motion sickness
    • Activity
    • Visual environment
    • Environmental conditions

    The goal is not to validate every sensor.

    The goal is to determine which measurements, alone or in combination, provide reproducible information worth carrying forward.

    A sensor that contributes no useful independent information can be eliminated. That is a successful scientific finding.

    Potential outputs

    • Synchronized natural-motion physiology dataset
    • Candidate motion-response relationships
    • Candidate biomarkers and multimodal signal combinations
    • Identification of low-value measurements
    • Reproducibility estimates
    • Physical stimulus characterization
    • Hypotheses for controlled reproduction
    Explore Phase 1

Cross-phase logic

How the Research Becomes More Precise

  1. Phase 1

    Measure Many Variables

    Discovery

  2. Phase 2

    Identify & Manipulate Informative Variables

    Reduction

  3. Phase 3

    Validate in Clinical Populations

    Validation

  4. Phase 4

    Retain Only What Is Useful

    Translation

Discovery → Reduction → Validation → Translation

Conceptual progression

What Changes Across the Program

Phase 1

High measurement breadth

Low assumptions

Phase 2

Reduced variable set

Higher experimental control

Phase 3

Clinical relevance increases

Phase 4

Operational complexity decreases

This graphic is conceptual and does not represent quantitative measurements or guaranteed progression.

Phase 1

Natural Motion Characterization

Planned

Scientific question

Can natural multidimensional marine motion be quantitatively characterized and related to synchronized human physiological responses?

Rather than testing a predefined therapeutic protocol, Phase 1 establishes the foundational dataset required to understand which characteristics of natural motion may be biologically relevant.

Phase 1 scientific dataset

One Synchronized View of Motion, Physiology, and Context

The scientific value of Phase 1 does not come from any sensor in isolation. It comes from aligning multimodal measurements to the same moments in time so relationships can be examined across systems.

Motion, physiology, participant context, and environmental conditions are captured as a synchronized scientific record, allowing each signal to be interpreted in relation to the others.

01

Motion Characterization

Continuous measurements distinguish the motion of the environment from the motion actually received at the participant's head.

Environmental Motion

Continuous vessel six-degree-of-freedom motion

  • Surge
  • Sway
  • Heave
  • Roll
  • Pitch
  • Yaw

Head-Centered Motion

Continuous participant head six-degree-of-freedom motion

  • Translation
  • Rotation
  • Orientation
  • Stabilization

Vessel motion and received head motion are scientifically different measurements. The head may stabilize, amplify, attenuate, or otherwise transform motion originating at the vessel.

02

Cardiovascular Physiology

Time-aligned cardiovascular measures provide complementary views of beat-to-beat response and autonomic regulation.

Continuous ECG

Beat-to-Beat Blood Pressure

Heart Rate

Heart-Rate Variability

Pulse-Derived Metrics

Where appropriate

03

Autonomic Physiology

No single measurement is assumed to represent the autonomic system. Multiple modalities are evaluated together.

Pupillometry

Skin Sympathetic Nerve Activity

Luminescence imaging

Electrodermal Activity

Respiration

Peripheral Temperature

Peripheral Perfusion

Additional Validated Measures

As protocol development evolves

04

Behavioral & Participant Context

Physiological signals are interpreted alongside participant state, experience, and the circumstances of each session.

Symptoms

Motion Sickness

Activity

Posture

Visual Environment

Session Timing

Participant Observations

05

Environmental Context

Natural motion is interpreted in relation to changing environmental and operational conditions.

Wind

Weather

GPS

Boat Speed

Wave Conditions

Heading

Timestamp Synchronization

Measurement strategy

Why So Many Sensors?

Phase 1 is intentionally comprehensive.

Rather than assuming which physiological measurements are important, multiple synchronized sensing modalities are collected simultaneously.

Some measurements may ultimately contribute little or no useful scientific information. Others may become valuable only when interpreted together with additional physiological or motion variables.

The objective is not to validate every sensor.

The objective is to discover which measurements consistently provide meaningful scientific information.

Eliminating measurements that do not provide useful information represents scientific progress just as much as validating those that do.

Scientific objective

Discover Relationships, Not a Single Biomarker

Rather than searching for a single biomarker, Phase 1 seeks to discover reproducible relationships between natural multidimensional motion and synchronized physiological responses.

Those relationships become candidates for future validation, controlled experimentation, and adaptive motion research.

Phase 1

Expected Scientific Outputs

These outputs represent areas of scientific value that Phase 1 is designed to pursue. Their final form will depend on study findings, data quality, governance, and publication considerations.

  1. 01

    Natural motion characterization

  2. 02

    Synchronized multimodal physiological dataset

  3. 03

    Motion-response relationship discovery

  4. 04

    Biomarker evaluation

  5. 05

    Candidate physiological targets

  6. 06

    Engineering requirements for future adaptive motion systems

  7. 07

    Scientific publications

  8. 08

    Conference presentations

  9. 09

    Future public datasets where appropriate

Phase 2

Controlled Motion Reproduction

Natural motion is highly complex. Phase 2 investigates whether characteristics identified during Phase 1 can be reproduced using controlled engineering platforms.

Questions include

  1. 01

    Which characteristics matter?

  2. 02

    Which are unnecessary?

  3. 03

    Which combinations are biologically important?

  4. 04

    Can natural motion be represented using simpler reproducible waveforms?

Phase 3

Clinical Feasibility

Following characterization and controlled reproduction, candidate motion protocols may be evaluated within clinical populations if earlier evidence supports proceeding.

Potential populations

  • Autism Spectrum Disorder
  • POTS and Dysautonomia

Objectives

  • Feasibility
  • Safety
  • Tolerability
  • Physiological reproducibility
  • Endpoint refinement

Phase 3 is a conditional future objective. It does not imply that efficacy has been demonstrated or that a therapeutic protocol has already been established.

Phase 4

Clinical Translation

Validated motion-response relationships may ultimately support development of practical adaptive motion systems suitable for clinical environments.

Potential future objectives

  1. 01

    Adaptive motion protocols

  2. 02

    Simplified sensing

  3. 03

    Workflow optimization

  4. 04

    Multicenter studies

  5. 05

    Future therapeutic development

Translation would remain contingent on evidence from earlier phases, engineering feasibility, clinical oversight, regulatory requirements, and appropriate future studies.

Scientific governance

Guiding Scientific Principles

  1. 01

    Measure Before Optimizing

    Characterize the physical stimulus and synchronized response before selecting a target protocol.

  2. 02

    Discovery Before Translation

    Use foundational data to define which later experiments are scientifically justified.

  3. 03

    Multiple Signals Over Single Biomarkers

    Evaluate physiology as a coordinated system rather than relying on one isolated measurement.

  4. 04

    Evidence Before Claims

    Let observed data determine what can responsibly be concluded and what remains unknown.

  5. 05

    Publish Positive, Mixed, and Null Findings

    Treat every well-designed result as information that can improve the next scientific decision.

  6. 06

    Scientific Independence

    Protect study design, analysis, interpretation, and publication from commercial or narrative pressure.

Long-term vision

A Framework for Understanding Motion and Physiology

SeaKing Solace seeks to establish an evidence-based scientific framework describing how natural multidimensional motion interacts with human physiology.

The long-term objective is not simply to demonstrate measurable physiological responses. The objective is to identify reproducible motion-response relationships, determine which physiological measurements provide meaningful scientific information, and establish the scientific foundation required for future adaptive motion technologies.

This is a research pathway, not a claim that clinical efficacy has already been demonstrated.

Research Collaboration

Help Shape the Next Generation of Motion Research

Advancing this research requires expertise from many disciplines. We welcome collaboration from scientists, clinicians, engineers, statisticians, and research institutions interested in helping answer questions that current literature has not yet resolved.