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Energy Expenditure Estimation Using Wearable Sensors: A New Methodology for Activity-Specific Models

Presentation for Wireless Health 2012.
by

Marco Altini

on 19 October 2012

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Transcript of Energy Expenditure Estimation Using Wearable Sensors: A New Methodology for Activity-Specific Models

Energy Expenditure Estimation Using Wearable Sensors:
A New Methodology for Activity-Specific Models Marco Altini, Julien Penders and Oliver Amft Energy Balance
=
Energy Intake - Energy Expenditure food vital
functions, physical
activity ~18 kcals/kg/day ~4.3 kcals/kg/day what went wrong? Obesity
Diabetes
Hypertension
Metabolic Syndrome
Cardiovascular Disease How many activities? How to
model
activities?

Chest mounted
3-axial Acceleration - 64 Hz
ECG - 256 Hz Participants Reference Activities Is the
activity enough? How to
extend single models? Which activities? What parameters
to use? 19 Subjects (14 M, 5 F)

Age 24-39
Height (m) 1.59-1.97
Weight (kg) 50.2-102.1
BMI 18.6-28.7
diverse ethnic background Daily Energy Expenditure 1.8RMR 1.17RMR Resting
Metabolic
Rate RMR Physical
Activity
Energy
Expenditure PAEE Energy Expenditure Estimation Using Wearable Sensors:
A New Methodology for Activity-Specific Models Marco Altini, Julien Penders and Oliver Amft Thank you Grazie ECG
Necklace Indirect
Calorimeter oxygen consumption
carbon dioxide production Sensor 48 activities per subject ~55 hours of data Experiment Results New Methodology New Methodology Root Mean Square Error 18 to 31% error reduction kcals/min Day 2
Sedentary
Lifestyle
Household

~2 hours Day 1
Moderate
Vigorous
Sport

~1.5 hours Activity Specific Models
Full transcript