Experience Your Data

Stress data is traditionally visualized through graphs and charts, and this allows us to see patterns over time. But our brains process audio differently from visual information, revealing subtle patterns we might otherwise miss. Therefore, by combining sound with visualization, we can create a deeper, more intuitive understanding of stress responses.

Visual Only

Can you spot the subtle patterns?

Visual + Audio

The hidden pattern is clearly audible!

👂

Multi-Sensory Perception

Your brain processes audio and visual information through different pathways, enabling you to detect patterns that might be missed visually.

📈

Pattern Recognition

Sound naturally highlights trends, anomalies, and rhythmic patterns in stress data that aren't obvious in visual formats.

🧠

Cognitive Load

Experience how your body responds to stress without staring at numbers - sound creates an intuitive understanding.

⏱️

Temporal Awareness

Sound naturally maps to time, making it perfect for understanding how stress levels change and fluctuate over periods.

Try It Yourself: Feel the Stress

Move the slider to adjust stress levels and experience how it sounds and looks in real-time.

Stress Level:

72 BPM

Explore Your Data

And stress data often contains complex patterns across different subjects and metrics. But traditional visualizations may not reveal the full emotional impact of stress. Therefore, Cognify helps you navigate these patterns by combining interactive visualization with sound, creating a more immersive experience.

Subject:

Metric:

🖱️ Move mouse over chart

⇧ Hold Shift to hear data

Pattern Detection

Different subjects show varying responses to the same stressors. Compare Subject 1's steady response to Subject 3's spikes during the exam.

Try it: Compare Subjects

Start of Test

Difficult Question

Time Warning

Master the Audio Visualizer

And our audio-visual player enhances your ability to experience stress data. But different situations call for different ways of exploring this information. Therefore, we've created intuitive controls that let you customize the experience to focus on what matters most to you.

0:00 / 1:30

Volume

Speed 1.0×

Waveform

Hold to Skip

Press and hold the skip buttons to rapidly move through the data.

Compare Subjects

Switch between subjects to compare different patterns of response.

Try Different Waveforms

Each waveform emphasizes different aspects of your data.

Use Annotations

Add your own notes to mark significant events in your data.

A Practical Example

Try playing the exam dataset with different speeds to hear how heart rate increases during difficult questions and as time runs out.

Create Your Own Waveforms

And different waveforms affect how we perceive stress patterns in audio. But everyone's perception is unique, and standard waveforms may not highlight what matters most to you. Therefore, we've created tools for you to design custom waveforms that emphasize exactly what you want to hear in your data.

Sine Wave

Smooth and pure, ideal for subtle changes. Best for heart rate data.

Triangle Wave

Clear and distinct, good for moderate detail in breathing data.

Square Wave

Sharp and pronounced, emphasizes threshold crossings in GSR data.

Sawtooth Wave

Bright and detail-rich, excellent for EEG and complex variations.

Draw Your Own Waveform

Create a waveform that emphasizes the aspects of your data you care about most.

Click and drag to draw

💡

Create with Purpose

Design waveforms to highlight specific patterns in your stress data. Sharp peaks can emphasize sudden changes while smoother curves capture gradual trends. Experiment to find what helps you intuitively understand your body's responses.

Upload Your Own Dataset

And we provide sample datasets to explore the stress visualization experience. But your own biometric data contains personal stress patterns unique to your life. Therefore, Cognify makes it easy to upload, configure, and explore your own stress data, creating a deeply personal understanding of your body's responses.

1

Prepare Your Data

Organize your data in CSV format with these required columns:

timestamp, subject, metric1, metric2, ...

example_data.csv

timestamp	subject	hr	gsr
0.0	Subject1	72.5	8.3
0.5	Subject1	73.1	8.5
1.0	Subject1	73.8	8.7

2

Upload Your File

Drag & drop your CSV file here

or

3

Configure Your Dataset

Dataset Name

Timestamp Column

Subject Column

Primary Metric

Calculate average across subjects

4

Start Exploring!

Your dataset will appear on the main albums screen, ready for exploration.

My Stress Study

Custom Dataset

Using Apple Health Data

Your Apple Watch or iPhone already collects valuable stress-related metrics like heart rate and variability. Here's how to export and visualize it:

1

Export Your Apple Health Data

Open the Health app and tap on your profile

Scroll down and tap "Export All Health Data"

The data will be exported as a ZIP file - share it to your computer

2

Upload and Configure

In the upload section, select "Apple Health" instead of "CSV":

3

Select Metrics to Visualize

Choose from available metrics like Heart Rate, Active Energy, or Steps:

Heart Rate

4,235 data points (bpm)

Active Energy

982 data points (kcal)

Steps

731 data points (count)

4

Visualize and Experience

Your Apple Health data will be processed to create a seamless audio-visual experience that reveals patterns in your physiology you may never have noticed before.

Pro Tips

📊

Consistent Sampling

For best results, use data with consistent time intervals between samples.

🔄

Normalize Your Data

Pre-normalize extreme values to prevent audio distortion.

🏷️

Add Event Markers

Include an "event" column to mark important moments in your study.

🔢

Multiple Metrics

Include multiple metrics (HR, GSR, etc.) to get more complete insights.

You're Ready to Begin!

You've learned how to use Cognify to explore the hidden patterns in your stress data through sound and visualization. This multi-sensory approach offers a deeper, more intuitive connection to your body's responses than traditional charts alone.

Go to Datasets