NDLI: Energy expenditure estimation using visual and inertial sensors

Content Provider	IET Digital Library
Author	Tao, Lili Burghardt, Tilo Mirmehdi, Majid Damen, Dima Cooper, Ashley Camplani, Massimo Hannuna, Sion Paiement, Adeline Craddock, Ian
Abstract	Deriving a person's energy expenditure accurately forms the foundation for tracking physical activity levels across many health and lifestyle monitoring tasks. In this study, the authors present a method for estimating calorific expenditure from combined visual and accelerometer sensors by way of an RGB-Depth camera and a wearable inertial sensor. The proposed individual-independent framework fuses information from both modalities which leads to improved estimates beyond the accuracy of single modality and manual metabolic equivalents of task (MET) lookup table based methods. For evaluation, the authors introduce a new dataset called SPHERE_RGBD + Inertial_calorie, for which visual and inertial data are simultaneously obtained with indirect calorimetry ground truth measurements based on gas exchange. Experiments show that the fusion of visual and inertial data reduces the estimation error by 8 and 18% compared with the use of visual only and inertial sensor only, respectively, and by 33% compared with a MET-based approach. The authors conclude from their results that the proposed approach is suitable for home monitoring in a controlled environment.
Starting Page	36
Ending Page	47
Page Count	12
ISSN	17519632
Volume Number	12
e-ISSN	17519640
Issue Number	Issue 1, Feb (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/12/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2017.0112
Journal	IET Computer Vision
Publisher	The Institution of Engineering and Technology
Publisher Date	2017-09-28
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Acceleration Accelerometer Accelerometer Sensor Biology And Medical Computing Biomedical Engineering Biomedical Measurement And Imaging Bolometers Calorimetry Computer Vision Computer Vision And Image Processing Technique Data Handling Technique Detection of Radiation Energy Expenditure Estimation Gas Exchange Home Monitoring Image Sonsor Indirect Calorimetry Ground Truth Measurement Lookup Table Based Method Medical Image Processing Metabolic Equivalents of Task Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Photoelectric Cell Physical Activity Levels RGB-depth Camera Rotation Measurement Sensing And Detecting Device Sensor Fusion Submillimetre Wave Detection Table Lookup Thermal Variables Measurement Velocity Visual Sonsor Wearable Inertial Sensor
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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