The PAAWS Study
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The PAAWS Dataset

We collected data across three complementary data collection protocols—a simulated free-living and laboratory (SimFL+Lab) protocol, a free-living (FL) protocol, and the Sleep protocol—to create a comprehensive multi-modal sensor dataset.

Protocol Participants (N =) Hours/Nights Duration Measurements
SimFL+Lab 252 717.89 hours ~4 hours (~1h SimFL + ~3h Lab) • Accelerometer & IMU (21 locations)
• Heart rate
• Metabolic data
• Phone sensors & usage
• Activity annotations
Free Living 236 (in progress) 3,288.32 hours 8-day protocol (7+ full days) • Accelerometer (6 locations)
• Phone sensors & usage
• Activity annotations
Sleep 155 157 nights Up to 2 nights at home • Full PSG (EEG, EOG, EMG, ECG)
• Respiratory & SpO2
• Accelerometer (5 locations)
• Expert sleep scoring

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Data Processing Progress

Protocol Collected (N =) Processed Annotated QC Complete Released
SimFL+Lab Protocol 252 252 252 252 252
Free Living Protocol 236 236 137* 22 20
Sleep Protocol (PSG) 157 155 157 15 15

*Free Living Status
To release the 137 annotated datasets:

  • 16 require experts' approval
  • 61 awaiting QC
  • Remaining datasets are in progress

SimFL+Lab Protocol

The Simulated free-living and lab (SimFL+Lab) protocol was an approximately 4-hour supervised session: ~1 hour minimally controlled simulated free-living activities followed by ~3 hours of highly controlled laboratory exercise protocol

252
Participants
~4 hour
SimFL+Lab Duration
IMU from 21 locations
ActiGraph GT9X sensors
HR & Metabolic Data
Polar H10 & Cosmed sensors

Accelerometer & IMU Data

Comprehensive motion capture from 21 ActiGraph GT9X Link sensors (20 on-body locations + 1 taped to back of the phone)

DATA COLLECTED

  • Accelerometer: 80 Hz
  • IMU (gyroscope, magnetometer, temperature): 100 Hz

SENSOR LOCATION (21 LOCATIONS)

  • Wrists: Right/Left wrist top and bottom (4 sensors)
  • Waist: Right/Left waist anterior, mid, posterior (6 sensors)
  • Thighs: Right/Left thigh anterior (2 sensors)
  • Ankles: Right/Left ankle anterior, lateral, medial, posterior (8 sensors)
  • Phone: Back of the participant's phone

DEVICE

  • ActiGraph GT9X Link

Heart Rate & Metabolic Data

Continuous heart rate monitoring during protocol, plus metabolic measurements during 13 specific laboratory activities

DATA COLLECTED

  • Heart Rate: 1 Hz throughout entire protocol (Note: Sixteen participants have 60-second epoch data due to configuration error)
  • Metabolic (13 activities): Breath-by-breath VO2, VCO2, respiratory rate, tidal volume
  • Calculated MET values for steady-state activities
  • Activities: lying, sitting, standing, treadmill (multiple speeds), stationary biking, household tasks

SENSOR LOCATION

  • Heart Rate: Chest strap
  • Metabolic: Face mask with breathing apparatus

DEVICE

  • Polar H10 heart rate monitor
  • Cosmed Quark RMR CPET indirect calorimeter

Built-in Phone Sensors & Usage Data

Available only for participants with compatible Android devices—comprehensive smartphone usage tracking plus built-in phone sensors

DATA COLLECTED

  • External Accelerometer: 80 Hz (GT9X taped to phone back)
  • Built-in Accelerometer: ~50 Hz target rate
  • Environmental: Ambient pressure (hPa), light (lux), proximity (cm)
  • Usage: App interactions (screen on/off, foreground/background), notification logs, hourly step counts

SENSOR LOCATION

  • One ActiGraph GT9X taped to back of participant's phone
  • Built-in phone sensors (internal to device)

DEVICE

  • ActiGraph GT9X Link (external)
  • Participant's Android smartphone (built-in sensors)

SimFL Protocol Activities

Sixteen minimally controlled real-world scenarios simulating typical free-living activities (performed in ~1 hour)

Realistic Outdoor Ambulation

  • Public transit use (walking to train station, waiting for train, riding train)
  • Walking variations (while on phone call, carrying groceries)
  • Stair climbing (with and without groceries)
  • Outdoor biking around common area
  • Elevator use (up and down)

Sedentary Behaviors

  • Sitting on bench (naturally, conversing with researcher, reading, using phone)
  • Waiting in line at coffee shop

Realistic Free-Living Activities

  • Grocery shopping simulation (selecting and returning items)
  • Playing frisbee with researcher

Lab Protocol Activities

Highly controlled activities (32 activities performed in ~3 hours under precise supervision)

Activities Include

  • Postures: Lying (back, sides, stomach), sitting (still, typing, reclining), standing (still, conversation)
  • Ambulation speeds: Treadmill at multiple speeds (2-5.5 mph) with variations (hands in pockets, carrying items, phone use, conversation)
  • Exercise: Stationary biking, arm curls, push-ups, crunches, machine exercises
  • Household: Folding laundry, shelf loading/unloading, organizing, sweeping, vacuuming, washing dishes, chopping food

Activity Annotations

Second-by-second manual annotations from video footage (video not released, only derived annotations)

DATA COLLECTED

  • Physical activity type (mutually exclusive)
  • Posture (mutually exclusive)
  • High-level behavior (non-mutually exclusive)
  • Contextual parameters (non-mutually exclusive)
  • Experimental situation (Lab vs SimFL)
  • Expert manual annotation with multi-stage quality control

SENSOR LOCATION

  • Primary: Third-person video camera following participant
  • Backup: Egocentric front-facing camera (used in 6 cases of corruption and 35 cases of poor footage quality)

DEVICE

  • C3 Cammpro camera (third-person)
  • Front-facing camera (egocentric backup)

Protocol Documentation

Comprehensive notes documenting deviations, sensor issues, and participant-specific circumstances

Documentation Types

  • General participant behavior notes
  • Protocol deviation records (structured CSV)
  • Sensor malfunction logs
  • Sensor non-wear periods
  • Activity modifications or skipped activities
  • Equipment issues

Free Living Protocol

Eight-day naturalistic data collection providing 7+ full days of continuous sensor data, capturing complete weekly rhythms and day-to-day variations in natural settings. Participants performed normal daily activities while wearing sensors and a chest-mounted camera during waking hours

236
Total Participants
8 days
Protocol Duration
5 on-body + 1 on phone
ActiGraph GT9X sensors

Accelerometer Data

Continuous week-long motion tracking from 6 ActiGraph GT9X Link sensors (5 on-body + 1 taped to back of the phone)

DATA COLLECTED

  • Accelerometer: 80 Hz (IMU disabled for week-long battery life)
  • Thigh sensor worn continuously (waterproof)
  • Other sensors removed for water activities

SENSOR LOCATION (6 SENSORS)

  • Right wrist (dorsal aspect)
  • Left wrist (dorsal aspect)
  • Right waist (anterior axillary line, rotated 90° from lab placement)
  • Right thigh (anterior, waterproof tape)
  • Right ankle (lateral aspect, rotated 90° from lab placement)
  • Phone: Back of the participant's phone

DEVICE

  • ActiGraph GT9X Link

Activity Annotations

Comprehensive second-by-second activity labels created from expert analysis of chest-mounted camera video (video not released)

DATA COLLECTED

  • Physical activity type (mutually exclusive)
  • Posture (mutually exclusive)
  • High-level behaviors (non-mutually exclusive)
  • Contextual parameters (non-mutually exclusive)
  • Manual annotation from chest-mounted camera footage
  • Video gaps filled with self-reported recall data
  • Multi-stage quality control validation

SENSOR LOCATION

  • Chest-mounted camera worn during waking hours

DEVICE

  • Chest-mounted camera

Built-in Phone Sensors & Usage Data

Available only for participants with compatible Android devices—naturalistic smartphone usage patterns and built-in sensors

DATA COLLECTED

  • External Accelerometer: 80 Hz (GT9X taped to phone back)
  • Built-in Accelerometer: ~50 Hz target
  • Environmental: Ambient pressure, light exposure (lux), proximity sensor readings
  • Usage: App interactions (foreground/background), screen state changes, notification patterns, hourly step counts

SENSOR LOCATION

  • One ActiGraph GT9X taped to back of participant's phone
  • Built-in phone sensors (internal to device)

DEVICE

  • ActiGraph GT9X Link (external)
  • Participant's Android smartphone (built-in sensors)

Protocol Documentation

Comprehensive notes documenting deviations, sensor issues, and participant-specific circumstances

Documentation Types

  • Daily recall sessions (structured CSV)
  • Activities during camera non-wear periods
  • Sleep quality ratings and duration
  • Protocol deviation records
  • Sensor malfunction logs
  • Sensor non-wear periods
  • Notable events or deviations

Sleep Protocol

Optional protocol occurring during Free Living: comprehensive at-home polysomnography collected in participants' natural sleep environment with expert sleep stage scoring following AASM standards

155
Participants
157
Total Nights
Up to 2 nights
Protocol Duration
At home
Sleep Location

EEG Signals

10-lead electroencephalography following 10-20 system for comprehensive brain activity monitoring during sleep

DATA COLLECTED

  • EEG Channels: C3-M2, C4-M1, F3-M2, F4-M1, O1-M2, O2-M1
  • Reference: M1/A1 (left mastoid), M2/A2 (right mastoid)
  • Expert manual scoring by trained sleep researchers
  • Five stages: Wake, N1, N2, N3, REM
  • 30-second epoch scoring following AASM standards
  • Arousal and sleep/wake transition identification

SENSOR LOCATION

  • Central: C3, C4 (scalp)
  • Frontal: F3, F4 (scalp)
  • Occipital: O1, O2 (scalp)
  • Reference: M1, M2 (mastoids behind ears)

DEVICE

  • Nox A1 PSG system

Eye Movement & Muscle Activity

Electrooculography for REM detection and electromyography for muscle tone assessment

DATA COLLECTED

  • EOG: E1-M2, E2-M2 for REM sleep identification and sleep/wake transitions
  • EMG: Submental (chin) EMG derivations 1-2, 1-F, 2-F
  • EMG: Bilateral anterior tibialis (legs)
  • Muscle tone assessment for sleep staging
  • Periodic limb movement detection

SENSOR LOCATION

  • EOG: E1 (1 cm lateral and below left outer canthus), E2 (1 cm lateral and above right outer canthus)
  • EMG Chin: Submental (below chin)
  • EMG Legs: Bilateral anterior tibialis muscles

DEVICE

  • Nox A1 PSG system

Respiratory Monitoring

Multi-modal respiratory assessment including airflow, effort, and pattern analysis for sleep apnea detection

DATA COLLECTED

  • Airflow: Nasal cannula pressure and flow
  • Derived: Flow limitation signal, RIP sum, RIP flow
  • Effort: Thoracic (chest), abdominal movement via RIP belts
  • Snoring: Audio volume in dB (no audio recording)
  • Apnea and hypopnea identification
  • Central vs obstructive event classification

SENSOR LOCATION

  • Nasal Cannula: Below nostrils
  • Thoracic Belt: Around chest
  • Abdominal Belt: Around abdomen

DEVICE

  • Nox A1 PSG system with nasal cannula and RIP belts

Cardiovascular & Oximetry

Single-lead ECG for heart rhythm and pulse oximetry for oxygen saturation throughout sleep

DATA COLLECTED

  • ECG: Single-channel ECG (Lead II configuration)
  • Derived: Heart rate, bradycardia (BPM <40 for ≥20s), tachycardia (bpm>100 for ≥20s)
  • SpO2: Oxygen saturation, PPG waveform, pulse rate
  • Desaturation event detection (≥3% drop)
  • Signal quality assessment and artifact detection

SENSOR LOCATION

  • ECG: Chest (Lead II placement)
  • Pulse Oximeter: Index finger

DEVICE

  • Nox A1 PSG system with pulse oximeter

Sleep Events & Position

Comprehensive detection and expert scoring of sleep disorders and body position throughout the night

DATA COLLECTED

  • Breathing Events: Central, obstructive, and mixed apneas (≥10s duration)
  • Hypopneas: Central and obstructive (≥10s, ≥30% amplitude decrease, with ≥3% desaturation or arousal)
  • Movement Events: Periodic limb movements, limb movement series, major body movements
  • Arousals: EEG arousals (≥3s frequency shift)
  • Snoring: Individual snores and snore trains (≥4 consecutive snores)
  • Body Position: Supine, prone, left, right, upright (auto-detected from gravity sensors)

SENSOR LOCATION

  • Derived from combined PSG sensors (respiratory, EEG, EMG, gravity)

DEVICE

  • Nox A1 PSG system

Concurrent Accelerometer Data

Participants continued wearing their 5 Free Living accelerometers throughout sleep for sensor fusion opportunities

DATA COLLECTED

  • Accelerometer: 80 Hz
  • Synchronized with PSG data
  • Enables comparison of wrist actigraphy with gold-standard PSG

SENSOR LOCATION (5 SENSORS)

  • Left wrist (dorsal)
  • Right wrist (dorsal)
  • Right waist (anterior)
  • Right thigh (anterior, waterproof tape)
  • Right ankle (lateral)

DEVICE

  • ActiGraph GT9X Link

At-Home Natural Sleep

PSG data collected in participants' own homes during natural sleep, maximizing ecological validity

Data Collection Approach

  • Nox A1 PSG system configured for home use
  • Sensors applied in lab, then participant goes home
  • Self-applied nasal cannula and pulse oximeter at bedtime
  • Natural sleep in familiar environment
  • Bio-calibration before sleep

Quality & Standards

  • Following AAST Technical Guideline for Standard Polysomnography (AASM)
  • Expert manual scoring by trained sleep researchers
  • Signal quality monitoring and artifact detection
  • Impedance checks for EEG/EOG electrode quality

Dataset Releases

Release 1 (October 2025): Initial Dataset Release

Complete, validated data from 252 participants with expert annotations. All sensor data synchronized to sub-second precision with multi-stage quality validation and comprehensive documentation.

Release 1 Dataset Composition

Protocol Participants (N =) Hours / Nights
SimFL+Lab 252 717.89 hours
Free Living 20 3,288.32 hours
Sleep 15 29 nights

Download Dataset

Access the complete PAAWS Release 1 dataset with all sensor data, expert annotations, and comprehensive documentation.

Download PAAWS Release 1

Resources & Support

Dataset Codebooks Analysis Tools & Code Contact Research Team
Research described on this website is supported by National Cancer Institute of the National Institutes of Health under award number R01CA252966. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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