Send the link below via email or IMCopy
Present to your audienceStart remote presentation
- Invited audience members will follow you as you navigate and present
- People invited to a presentation do not need a Prezi account
- This link expires 10 minutes after you close the presentation
- A maximum of 30 users can follow your presentation
- Learn more about this feature in our knowledge base article
Do you really want to delete this prezi?
Neither you, nor the coeditors you shared it with will be able to recover it again.
Make your likes visible on Facebook?
You can change this under Settings & Account at any time.
Energy Expenditure Estimation Using Wearable Sensors: A New Methodology for Activity-Specific Models
Transcript of Energy Expenditure Estimation Using Wearable Sensors: A New Methodology for Activity-Specific Models
A New Methodology for Activity-Specific Models Marco Altini, Julien Penders and Oliver Amft Energy Balance
Energy Intake - Energy Expenditure food vital
activity ~18 kcals/kg/day ~4.3 kcals/kg/day what went wrong? Obesity
Cardiovascular Disease How many activities? How to
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)
Height (m) 1.59-1.97
Weight (kg) 50.2-102.1
diverse ethnic background Daily Energy Expenditure 1.8RMR 1.17RMR Resting
Rate RMR Physical
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
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
~2 hours Day 1
~1.5 hours Activity Specific Models