Name
Abstract | ||
|---|---|---|
Objective: Distance estimation in pedestrian dead reckoning is acquired using vector norm of accelerations, which results in positive values. However, anteroposterior acceleration is negative when a step is taken backward, which must be detected for accurate localization. This paper proposes a novel approach for the detection of walking direction, which uses a dominant trend duration. Methods: The... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TBME.2017.2774924 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Legged locomotion,Market research,Feature extraction,Distance measurement,Accelerometers,Wearable sensors | Back stepping,Computer vision,Pedestrian,Gait,Computer science,Accelerometer,Dead reckoning,Artificial intelligence,Acceleration,Norm (mathematics),Swing | Journal |
Volume | Issue | ISSN |
65 | 8 | 0018-9294 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Faraz Shaikh | 1 | 1 | 1.07 |
| Zoran Salcic | 2 | 553 | 82.51 |
| Kevin I-Kai Wang | 3 | 167 | 29.65 |