Name
Abstract | ||
|---|---|---|
Physical Activity (PA) is a globally recognized pillar of general health. However, there is no widely accepted measure to quantify PA. Step count, as one measure of PA, is a well known predictor of long term morbidity and mortality. Although step count is widely available in consumer grade mobile and wearable devices, a lack of methodological stan-dards and clinical validation remains a major impe... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00042 | 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) |
Keywords | DocType | ISBN |
Deep learning,Accelerometers,Wearable computers,Sociology,Neural networks,Clinical trials,Data models | Conference | 978-1-6654-2174-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Long Luu | 1 | 0 | 0.34 |
| Arvind Pillai | 2 | 0 | 0.34 |
| Halsey Lea | 3 | 0 | 0.34 |
| Ruben Buendia | 4 | 0 | 0.34 |
| Faisal M. Khan | 5 | 0 | 0.34 |
| Glynn Dennis | 6 | 0 | 0.34 |