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Best Practices in Testing Biometric Wearables
© 2017 Valencell, Inc
Chris Eschbach, PhD, Director Biometrics Laboratory
© 2017 Valencell, Inc
Webinar outline
Biometrics Laboratory overview
• Biometrics team
• Lab workflow and charge
Data collection process
• Areas for consideration
Data analysis and reporting
© 2017 Valencell, Inc
Webinar outline
Biometrics Laboratory overview
• Biometrics team
• Lab workflow and charge
Data collection process
• Areas for consideration
Data analysis and reporting
© 2017 Valencell, Inc
The Valencell Biometrics Lab is a cutting edge biometric
science lab designed to provide comprehensive analysis of
the latest in biometric sensor and wearable technology.
• Team of exercise scientists lead by PhD Exercise
Physiologist Dr. Chris Eschbach
• Pool of nearly 100 volunteers testing prototypes and new
technology every week
• Validation datasets on participants of numerous body
types, fitness levels, gender, & skin tones
• Testing protocols that match the use cases - resting,
lifestyle activities, mild exercise, aggressive exercise,
interval training, etc.
• Testing facilities for running, biking, swimming, gym
activities, and lifestyle activities
Valencell Biometrics Lab Overview
Biometrics Lab testing each year:
• Conducts over 24,000 different device
tests
• Analyses over 12 million biometric data
points
• Measures over 1,200 hours of testing &
validation sessions
© 2017 Valencell, Inc
Valencell Biometrics Lab Overview
© 2017 Valencell, Inc
Biometrics laboratory operations & staff
Operations
• Exercise sessions (R & D +
validation): 40 per week
• Exercise sessions (validation
commercial/training programs): 20
per week
• Other trials (longitudinal and rest):
30 per week
Staff
• Director
• Operations lead
• Data lead
• Reports lead
• Trials specialists
© 2017 Valencell, Inc
Biometrics Laboratory Workflow
• Scheduling
• Prioritization
• Experimental design
• Device/Experiment intake
• Reporting
© 2017 Valencell, Inc
Webinar outline
Biometrics Laboratory overview
• Biometrics team
• Lab workflow and charge
Data collection process
• Areas for consideration
Data analysis and reporting
© 2017 Valencell, Inc
Data collection process
Internal or external trials and projects
• Participants
• Data collection
• Areas for consideration
Data analysis and reporting
© 2017 Valencell, Inc
Participants
• Requirements: age, health, and availability
• Participant characteristics
• Health history
• Laboratory introduction
• Anatomical measures
• Pictures
• Goal for all DUTs: 20 participants with 8-min dynamic treadmill test
© 2017 Valencell, Inc
Participants- anatomical measures
© 2017 Valencell, Inc
Participants- Fitzpatrick Skin Type
© 2017 Valencell, Inc
Participants - comfort and security
Comfort
Rating
Comfort Description
1 • Painful and extremely uncomfortable.
• Worse than any other earbuds you have
used.
• Would not wear longer than 15 minutes.
2 • More uncomfortable than preferred.
• Below average compared to other
earbuds.
• Would not wear longer than 1 hour.
3 • Neither comfortable nor uncomfortable.
• Average compared to other earbuds.
• Would wear up to 2 hours.
4 • Comfortable.
• Above average compared to other
earbuds.
• Would wear up to 3 hours.
5 • Extremely comfortable.
• Better than any other earbuds you have
used.
• Would wear for 4 hours or longer.
Security
Rating
Security Description
1 • Won’t stay in ear.
• Worse than any other earbuds you have
used.
2 • Will stay in place while still, but slides out of
place with movement.
• Below average compared to other earbuds.
3 • Feels secure at rest and moderately insecure
while running but doesn’t fall out.
• Average compared to other earbuds.
4 • Feels secure at rest and stable while running
but falls out with a slight tug on the cord.
• Above average compared to other earbuds.
5 • Extremely secure at rest and while running.
• Better than all other earbuds.
© 2017 Valencell, Inc
Data collection process
Internal or external trials and projects
• Participants
• Data collection
• Areas for consideration
Data analysis and reporting
© 2017 Valencell, Inc
Data collection process
• Metrics collection
• Raw data
• Heart rate, RRi, steps, blood pressure, etc.
• Calories, VO2, Speed, Distance, etc.
• Baseline devices
• Chest strap HRM, ECG, Video, Manual and
automatic BP
• Indirect calorimetry, measured courses, and
calibrated treadmills
© 2017 Valencell, Inc
Data collection process - laboratory tools
• Wide range of participants
• Experienced staff
• Databases and data experts to overcome data collection
and UX challenges
• Data collectors (Raw, multi BLE, single BLE): commercial
applications and custom
• Exercise equipment
• Treadmills, bikes, strength, lifestyle, etc
• Reference devices (baseline and procedures for them)
• Collection devices: phones, cameras, programs, computers
© 2017 Valencell, Inc
Data collection process - laboratory tools
Reference devices (baseline and procedures for them)
© 2017 Valencell, Inc
Data collection process
• Protocol matches the intended use case(s)
• Participant places devices (followed by instruction as needed)
• Metrics collection- Heart rate
• DUT - Ideally raw data collected for analysis
• If not, then BLE HR
• Lastly some proprietary HR output
• Post processing to provide heart rate at 1 second intervals
© 2017 Valencell, Inc
Data collection process - protocols
Data is collected for the following 8-minute protocol:
© 2017 Valencell, Inc
Data collection process - protocols
© 2017 Valencell, Inc
Data collection process - protocols
• Various field trials beyond the foundational protocol (8-min dynamic treadmill)
• Sunlight testing
• Lifestyle (typical daily movements)
• Resting heart rate
• Dynamic bike indoor (10-minutes)
• Running intervals (15-minutes)
• Free run/bike (>20 minutes)
• Rowing ergometer (13-minutes)
• Strength circuit (typical strength exercises)
• High intensity interval strength
• Swimming
© 2017 Valencell, Inc
Data collection process - CTA protocols
• Consumer Technology Association
• Co-chair, Health Fitness and Wellness Technology Standards Committee
• Physical Activity Monitoring for Fitness Wearables: Step Counting
• Definitions and Characteristics for Wearable Sleep Monitors
• Methodology of Measurement for Features in Sleep Tracking Consumer
Technology Devices and Applications
• Physical Activity Monitoring for Heart Rate
• Consumer Stress Monitoring Technologies
https://cta.tech/Research-Standards/Standards-Listing/Health-Fitness-Technology-Standards.aspx
© 2017 Valencell, Inc
Data collection process – areas of consideration
Source: “Optical heart-rate measurement’s top 5 challenges” Dr. Steven LeBoeuf; EDN Magazine; 8-25-15
Optical Noise Skin Tone Blood Perfusion
Sensor Location Crossover Problem
© 2017 Valencell, Inc
Webinar outline
Biometrics laboratory overview
• Biometrics team
• Lab workflow and charge
Data collection process
• Areas for consideration
Data analysis and reporting
© 2017 Valencell, Inc
Data analysis and reporting
• Both subjective and quantified scoring of data
• Provides confidence with all data
• Easily understood during design cycles
• Erratic data: physiologically unlikely in a health
individual.
• Highly variable heart rate “jitter”
• Reported heart rate outside of expected ranges
(for example, reported at 0 or greater than 200)
© 2017 Valencell, Inc
Data analysis and reporting
• Excellent
• Signal was strong and tracking good the entire session
• Good
• Signal was strong and tracking was good but occasional short segments
of mis-tracking occurred
• A moderately scored test would likely not be noticed by a consumer
• Lost tracking
• Segments of moderate to long duration where biometric was not correct
© 2017 Valencell, Inc
Data analysis and reporting
Subjective results:
• Reference device
• DUT
• Excellent: >90% within +/-5%
• Good: >80% within +/-5%
• Poor: <80% within +/-5% and/or mis-tracking outside of +/- 10% for
greater than 40 seconds
© 2017 Valencell, Inc
Data analysis and reporting
• Statistical analysis
• mean ± SD (when appropriate)
• bias as percent error
• mean absolute percent error (MAPE)
• frequency distribution within ±5% windows
• Utilize thresholds: 85% of data will be within ±5%
• Bland-Altman and correlation as needed
• accuracy related to heart rate intensity (≤ moderate and ≥ vigorous)
© 2017 Valencell, Inc
Data analysis and reporting – areas for consideration
• Baseline errors (remove but report errors)
• Time for HR lock
• Data alignment
• Latency
© 2017 Valencell, Inc
Validation Report - representative data setsInitials
(1st 2 last
2) Unit ID Date and time Picture Core Gel Size
Ear Tip
Size
Needs
Warm-up Good Mod Fail
GeSc XXX5.58.3.M#8 7/10/14 10:50 M 1
CiSh
DoCa
HuRo XXX5.58.3.M#8 7/10/14 14:44 M 1
FaSa
JuSa XXX5.58.3.M#8 7/21/14 10:20 M 1
VeSo
DaBa XXX5.58.3.M#8 7/21/14 16:20 M 1
MiYo XXX5.58.3.M#8 7/22/14 9:25 M 1
JaAy XXX5.58.3.M#8 7/15/14 10:03 M 1
AnSu XXX5.58.3.M#8 7/22/14 11:34 M 1
ThYo
PhMu
ScSa
RiBr
JoVa
TrMa XXX5.58.3.M#8 7/14/14 15:33 M 1
JaSt XXX5.58.3.M#8 7/16/14 11:50 M 1
WaFu XXX5.58.3.M#8 7/16/14 12:11 M 1
Erma XXX5.58.3.M#8 7/21/14 13:31 M 1
JaJa XXX5.58.3.M#8 7/21/14 15:37 M 1
JeSc XXX5.58.3.M#8 7/14/14 9:36 S 1
HoSh
LoWh
JiWh
RiGr
StDa XXX5.58.3.M#8 7/10/2014 9:13 M 1
TrBo XXX5.58.3.M#8 7/10/2014 9:52 M 1
SeLo XXX5.58.3.M#8 7/10/2014 13:37 M 1
ChEs XXX5.58.3.M#8 7/10/2014 14:09 M 1
FrTh
AnSm
JoSm XXX5.58.3.M#8 7/21/14 14:25 M 1
HeBa
BoSm XXX5.58.3.M#8 7/16/14 14:26 M 1
BeSt XXX5.58.3.M#8 7/16/14 17:36 M 1
Total 0 13 3 4
% 0% 65% 15% 20%
Grand Total 20
0%
65%
15%
20%
Breakdown of Performance
Needs Warm-
up
Good
Mod
Fail
Average HR
(BLECS |
BE1.2)
125 | 126
Bias 0.02%
SD of Bias ± 1.9%
MAPE 1.0%
<-15% 0%
-15% to -10% 0%
-10% to -5% 1%
5% to 5% 98%
5% to 10% 1%
10% to 15% 0%
>15% 0%
Average HR
(BLECS |
BE1.2)
125 | 126
Bias 0.4%
SD of Bias ± 3.2%
MAPE 2.6%
<-15% 1%
-15% to -10% 1%
-10% to -5% 2%
-5% to 5% 91%
5% to 10% 2%
10% to 15% 1%
>15% 2%
© 2017 Valencell, Inc
Validation Report - representative data sets
© 2017 Valencell, Inc
Validation Report - representative data sets
© 2017 Valencell, Inc
Validation Report - representative data sets
Q&A
Thanks for your time!
If you have further questions or
would like to discuss testing
further, please reach out at
info@valencell.com

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Best Practices in Testing Biometric Wearables

  • 1. Best Practices in Testing Biometric Wearables © 2017 Valencell, Inc Chris Eschbach, PhD, Director Biometrics Laboratory
  • 2. © 2017 Valencell, Inc Webinar outline Biometrics Laboratory overview • Biometrics team • Lab workflow and charge Data collection process • Areas for consideration Data analysis and reporting
  • 3. © 2017 Valencell, Inc Webinar outline Biometrics Laboratory overview • Biometrics team • Lab workflow and charge Data collection process • Areas for consideration Data analysis and reporting
  • 4. © 2017 Valencell, Inc The Valencell Biometrics Lab is a cutting edge biometric science lab designed to provide comprehensive analysis of the latest in biometric sensor and wearable technology. • Team of exercise scientists lead by PhD Exercise Physiologist Dr. Chris Eschbach • Pool of nearly 100 volunteers testing prototypes and new technology every week • Validation datasets on participants of numerous body types, fitness levels, gender, & skin tones • Testing protocols that match the use cases - resting, lifestyle activities, mild exercise, aggressive exercise, interval training, etc. • Testing facilities for running, biking, swimming, gym activities, and lifestyle activities Valencell Biometrics Lab Overview Biometrics Lab testing each year: • Conducts over 24,000 different device tests • Analyses over 12 million biometric data points • Measures over 1,200 hours of testing & validation sessions
  • 5. © 2017 Valencell, Inc Valencell Biometrics Lab Overview
  • 6. © 2017 Valencell, Inc Biometrics laboratory operations & staff Operations • Exercise sessions (R & D + validation): 40 per week • Exercise sessions (validation commercial/training programs): 20 per week • Other trials (longitudinal and rest): 30 per week Staff • Director • Operations lead • Data lead • Reports lead • Trials specialists
  • 7. © 2017 Valencell, Inc Biometrics Laboratory Workflow • Scheduling • Prioritization • Experimental design • Device/Experiment intake • Reporting
  • 8. © 2017 Valencell, Inc Webinar outline Biometrics Laboratory overview • Biometrics team • Lab workflow and charge Data collection process • Areas for consideration Data analysis and reporting
  • 9. © 2017 Valencell, Inc Data collection process Internal or external trials and projects • Participants • Data collection • Areas for consideration Data analysis and reporting
  • 10. © 2017 Valencell, Inc Participants • Requirements: age, health, and availability • Participant characteristics • Health history • Laboratory introduction • Anatomical measures • Pictures • Goal for all DUTs: 20 participants with 8-min dynamic treadmill test
  • 11. © 2017 Valencell, Inc Participants- anatomical measures
  • 12. © 2017 Valencell, Inc Participants- Fitzpatrick Skin Type
  • 13. © 2017 Valencell, Inc Participants - comfort and security Comfort Rating Comfort Description 1 • Painful and extremely uncomfortable. • Worse than any other earbuds you have used. • Would not wear longer than 15 minutes. 2 • More uncomfortable than preferred. • Below average compared to other earbuds. • Would not wear longer than 1 hour. 3 • Neither comfortable nor uncomfortable. • Average compared to other earbuds. • Would wear up to 2 hours. 4 • Comfortable. • Above average compared to other earbuds. • Would wear up to 3 hours. 5 • Extremely comfortable. • Better than any other earbuds you have used. • Would wear for 4 hours or longer. Security Rating Security Description 1 • Won’t stay in ear. • Worse than any other earbuds you have used. 2 • Will stay in place while still, but slides out of place with movement. • Below average compared to other earbuds. 3 • Feels secure at rest and moderately insecure while running but doesn’t fall out. • Average compared to other earbuds. 4 • Feels secure at rest and stable while running but falls out with a slight tug on the cord. • Above average compared to other earbuds. 5 • Extremely secure at rest and while running. • Better than all other earbuds.
  • 14. © 2017 Valencell, Inc Data collection process Internal or external trials and projects • Participants • Data collection • Areas for consideration Data analysis and reporting
  • 15. © 2017 Valencell, Inc Data collection process • Metrics collection • Raw data • Heart rate, RRi, steps, blood pressure, etc. • Calories, VO2, Speed, Distance, etc. • Baseline devices • Chest strap HRM, ECG, Video, Manual and automatic BP • Indirect calorimetry, measured courses, and calibrated treadmills
  • 16. © 2017 Valencell, Inc Data collection process - laboratory tools • Wide range of participants • Experienced staff • Databases and data experts to overcome data collection and UX challenges • Data collectors (Raw, multi BLE, single BLE): commercial applications and custom • Exercise equipment • Treadmills, bikes, strength, lifestyle, etc • Reference devices (baseline and procedures for them) • Collection devices: phones, cameras, programs, computers
  • 17. © 2017 Valencell, Inc Data collection process - laboratory tools Reference devices (baseline and procedures for them)
  • 18. © 2017 Valencell, Inc Data collection process • Protocol matches the intended use case(s) • Participant places devices (followed by instruction as needed) • Metrics collection- Heart rate • DUT - Ideally raw data collected for analysis • If not, then BLE HR • Lastly some proprietary HR output • Post processing to provide heart rate at 1 second intervals
  • 19. © 2017 Valencell, Inc Data collection process - protocols Data is collected for the following 8-minute protocol:
  • 20. © 2017 Valencell, Inc Data collection process - protocols
  • 21. © 2017 Valencell, Inc Data collection process - protocols • Various field trials beyond the foundational protocol (8-min dynamic treadmill) • Sunlight testing • Lifestyle (typical daily movements) • Resting heart rate • Dynamic bike indoor (10-minutes) • Running intervals (15-minutes) • Free run/bike (>20 minutes) • Rowing ergometer (13-minutes) • Strength circuit (typical strength exercises) • High intensity interval strength • Swimming
  • 22. © 2017 Valencell, Inc Data collection process - CTA protocols • Consumer Technology Association • Co-chair, Health Fitness and Wellness Technology Standards Committee • Physical Activity Monitoring for Fitness Wearables: Step Counting • Definitions and Characteristics for Wearable Sleep Monitors • Methodology of Measurement for Features in Sleep Tracking Consumer Technology Devices and Applications • Physical Activity Monitoring for Heart Rate • Consumer Stress Monitoring Technologies https://cta.tech/Research-Standards/Standards-Listing/Health-Fitness-Technology-Standards.aspx
  • 23. © 2017 Valencell, Inc Data collection process – areas of consideration Source: “Optical heart-rate measurement’s top 5 challenges” Dr. Steven LeBoeuf; EDN Magazine; 8-25-15 Optical Noise Skin Tone Blood Perfusion Sensor Location Crossover Problem
  • 24. © 2017 Valencell, Inc Webinar outline Biometrics laboratory overview • Biometrics team • Lab workflow and charge Data collection process • Areas for consideration Data analysis and reporting
  • 25. © 2017 Valencell, Inc Data analysis and reporting • Both subjective and quantified scoring of data • Provides confidence with all data • Easily understood during design cycles • Erratic data: physiologically unlikely in a health individual. • Highly variable heart rate “jitter” • Reported heart rate outside of expected ranges (for example, reported at 0 or greater than 200)
  • 26. © 2017 Valencell, Inc Data analysis and reporting • Excellent • Signal was strong and tracking good the entire session • Good • Signal was strong and tracking was good but occasional short segments of mis-tracking occurred • A moderately scored test would likely not be noticed by a consumer • Lost tracking • Segments of moderate to long duration where biometric was not correct
  • 27. © 2017 Valencell, Inc Data analysis and reporting Subjective results: • Reference device • DUT • Excellent: >90% within +/-5% • Good: >80% within +/-5% • Poor: <80% within +/-5% and/or mis-tracking outside of +/- 10% for greater than 40 seconds
  • 28. © 2017 Valencell, Inc Data analysis and reporting • Statistical analysis • mean ± SD (when appropriate) • bias as percent error • mean absolute percent error (MAPE) • frequency distribution within ±5% windows • Utilize thresholds: 85% of data will be within ±5% • Bland-Altman and correlation as needed • accuracy related to heart rate intensity (≤ moderate and ≥ vigorous)
  • 29. © 2017 Valencell, Inc Data analysis and reporting – areas for consideration • Baseline errors (remove but report errors) • Time for HR lock • Data alignment • Latency
  • 30. © 2017 Valencell, Inc Validation Report - representative data setsInitials (1st 2 last 2) Unit ID Date and time Picture Core Gel Size Ear Tip Size Needs Warm-up Good Mod Fail GeSc XXX5.58.3.M#8 7/10/14 10:50 M 1 CiSh DoCa HuRo XXX5.58.3.M#8 7/10/14 14:44 M 1 FaSa JuSa XXX5.58.3.M#8 7/21/14 10:20 M 1 VeSo DaBa XXX5.58.3.M#8 7/21/14 16:20 M 1 MiYo XXX5.58.3.M#8 7/22/14 9:25 M 1 JaAy XXX5.58.3.M#8 7/15/14 10:03 M 1 AnSu XXX5.58.3.M#8 7/22/14 11:34 M 1 ThYo PhMu ScSa RiBr JoVa TrMa XXX5.58.3.M#8 7/14/14 15:33 M 1 JaSt XXX5.58.3.M#8 7/16/14 11:50 M 1 WaFu XXX5.58.3.M#8 7/16/14 12:11 M 1 Erma XXX5.58.3.M#8 7/21/14 13:31 M 1 JaJa XXX5.58.3.M#8 7/21/14 15:37 M 1 JeSc XXX5.58.3.M#8 7/14/14 9:36 S 1 HoSh LoWh JiWh RiGr StDa XXX5.58.3.M#8 7/10/2014 9:13 M 1 TrBo XXX5.58.3.M#8 7/10/2014 9:52 M 1 SeLo XXX5.58.3.M#8 7/10/2014 13:37 M 1 ChEs XXX5.58.3.M#8 7/10/2014 14:09 M 1 FrTh AnSm JoSm XXX5.58.3.M#8 7/21/14 14:25 M 1 HeBa BoSm XXX5.58.3.M#8 7/16/14 14:26 M 1 BeSt XXX5.58.3.M#8 7/16/14 17:36 M 1 Total 0 13 3 4 % 0% 65% 15% 20% Grand Total 20 0% 65% 15% 20% Breakdown of Performance Needs Warm- up Good Mod Fail Average HR (BLECS | BE1.2) 125 | 126 Bias 0.02% SD of Bias ± 1.9% MAPE 1.0% <-15% 0% -15% to -10% 0% -10% to -5% 1% 5% to 5% 98% 5% to 10% 1% 10% to 15% 0% >15% 0% Average HR (BLECS | BE1.2) 125 | 126 Bias 0.4% SD of Bias ± 3.2% MAPE 2.6% <-15% 1% -15% to -10% 1% -10% to -5% 2% -5% to 5% 91% 5% to 10% 2% 10% to 15% 1% >15% 2%
  • 31. © 2017 Valencell, Inc Validation Report - representative data sets
  • 32. © 2017 Valencell, Inc Validation Report - representative data sets
  • 33. © 2017 Valencell, Inc Validation Report - representative data sets
  • 34. Q&A Thanks for your time! If you have further questions or would like to discuss testing further, please reach out at info@valencell.com