TY - CHAP
T1 - Physical activity classification meets daily life: Review on existing methodologies and open challenges
AU - Awais, Muhammad
AU - Mellone, Sabato
AU - Chiari, Lorenzo
PY - 2015/11/4
Y1 - 2015/11/4
N2 - Recent advances in the MEMS devices make it happen to wirelessly integrate miniature motion capturing devices with Smartphones and to use them in personal health care and physical activity monitoring in daily life. There is no ground truth, though, to measure the physical activity (PA) in daily life and because of this, there is no common validation procedure adapted by the researchers for benchmarking the performance of algorithms for PA classification. The major issue in the existing studies for PA classification is the utilization of structured protocol in a controlled setting or simulated daily environment, which limits their implementation in real life conditions where activities are unplanned and unstructured, both in occurrence and in duration. This study provides a critical review on the validation procedures used for PA classification, types of activities classified and limitations in the exiting studies to implement them in daily life settings. Only those studies are considered which classify PA based on wearable accelerometers as an objective measure. The pros and cons of existing methodologies are highlighted and future possibilities are addressed for the development of a robust PA classification system which is feasible under real life conditions.
AB - Recent advances in the MEMS devices make it happen to wirelessly integrate miniature motion capturing devices with Smartphones and to use them in personal health care and physical activity monitoring in daily life. There is no ground truth, though, to measure the physical activity (PA) in daily life and because of this, there is no common validation procedure adapted by the researchers for benchmarking the performance of algorithms for PA classification. The major issue in the existing studies for PA classification is the utilization of structured protocol in a controlled setting or simulated daily environment, which limits their implementation in real life conditions where activities are unplanned and unstructured, both in occurrence and in duration. This study provides a critical review on the validation procedures used for PA classification, types of activities classified and limitations in the exiting studies to implement them in daily life settings. Only those studies are considered which classify PA based on wearable accelerometers as an objective measure. The pros and cons of existing methodologies are highlighted and future possibilities are addressed for the development of a robust PA classification system which is feasible under real life conditions.
UR - http://www.scopus.com/inward/record.url?scp=84953223816&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84953223816&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2015.7319526
DO - 10.1109/EMBC.2015.7319526
M3 - Chapter
C2 - 26737426
AN - SCOPUS:84953223816
SN - 9781424492718
VL - 2015
T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
SP - 5050
EP - 5053
BT - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Y2 - 25 August 2015 through 29 August 2015
ER -