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Free to try, no credit card requiredEnergy Expenditure Estimation Using Wearable Sensors:
A New Methodology for Activity-Specific Models
Marco Altini, Julien Penders and Oliver Amft
Daily Energy Expenditure
1.8RMR
~4.3 kcals/kg/day
~18 kcals/kg/day
Obesity
Diabetes
Hypertension
Metabolic Syndrome
Cardiovascular Disease
what went wrong?
Physical
Activity
Energy
Expenditure
1.17RMR
PAEE
Resting
Metabolic
Rate
RMR
Energy Balance
=
Energy Intake - Energy Expenditure
vital
functions, physical
activity
food
How to
model
activities?
How many activities?
Which activities?
New Methodology
Is the
activity enough?
What parameters
to use?
How to
extend single models?
Participants
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
Sensor
Reference
Indirect
Calorimeter
ECG
Necklace
Experiment
Activities
Day 2
Sedentary
Lifestyle
Household
~2 hours
Day 1
Moderate
Vigorous
Sport
~1.5 hours
48 activities per subject ~55 hours of data
New Methodology
Results
Activity Specific Models
Root Mean Square Error
kcals/min
18 to 31% error reduction
Energy Expenditure Estimation Using Wearable Sensors:
A New Methodology for Activity-Specific Models
Grazie
Thank you
Marco Altini, Julien Penders and Oliver Amft
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