Name
Title | ||
|---|---|---|
Demo abstract: Activity recognition and human energy expenditure estimation with a smartphone |
Abstract | ||
|---|---|---|
This paper presents a novel method for activity recognition and estimation of human energy expenditure with a smartphone and an optional heart-rate monitor. The method detects the presence of the devices, normalizes the orientation of the phone, detects its location on the body, and uses location-specific models to recognize the activity and estimate the energy expenditure. The normalization of the orientation and the detection of the location significantly improve the accuracy; the estimated energy expenditure is more accurate than that provided by a state-of-the-art dedicated consumer device. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/PERCOMW.2015.7134019 | Pervasive Computing and Communication Workshops |
Keywords | Field | DocType |
cardiology,patient monitoring,smart phones,activity recognition,body location detection,heart-rate monitor,human energy expenditure estimation,location-specific model,phone orientation normalization,smartphone,accelerometer,activtiy recognition,heart-rate monitor,human energy expenditure,smartphone | Activity recognition,Normalization (statistics),Accelerometer,Computer science,Energy expenditure,Real-time computing,Phone,Acceleration | Conference |
Citations | PageRank | References |
2 | 0.43 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bozidara Cvetkovic | 1 | 62 | 11.41 |
| Vito Janko | 2 | 15 | 8.34 |
| Mitja Luštrek | 3 | 410 | 54.52 |