Name
Abstract | ||
|---|---|---|
The advancement of mobile technology inspired research communities to achieve centimeter level accuracy in indoor positioning systems [2]. But to get the best out of it, we need assisting navigation applications that will not only help us to reach the destination quickly but will also make us familiar with the surroundings. To address this concern, we propose a two stage approach which can help pedestrians navigate in an indoor location and simultaneously enhance their spatial awareness. In the first stage, we will conduct a behavioral user study to identify the prominent behavioral patterns during different navigational challenges. Once the behavioral state model is prepared, we need to analyze the sensor data in multiple dimensions and build a dynamic sensor state model. This model will enable us to map the behavioral state model to the sensor states and draw a direct one to one relation between the two. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2732158.2732169 | IUI Companion |
Keywords | Field | DocType |
sensors | Mobile technology,Behavioral pattern,Computer science,One-to-one,State model,Human–computer interaction,Spatial contextual awareness,Multimedia,Spatial knowledge,Multiple time dimensions | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sanorita Dey | 1 | 4 | 2.75 |