Name
Abstract | ||
|---|---|---|
Mobile gaming is a big driver of app marketplaces. However, few mobile games deliver truly distinctive gameplay experiences for ad hoc collocated users. As an example of such an experience, consider a sword fight dual between two users facing each other where each user's phone simulates a sword. With phone in hand, the users' thrusts and blocks translate to attacks and counterattacks in the game. Such Phone-to-Phone Mobile Motion Games (MMG) represent interesting and novel gameplay for ad hoc users in the same location. One enabler for an MMG game like sword fight is continuous, accurate distance ranging. Existing ranging schemes cannot meet the stringent requirements of MMG games: speed, accuracy and noise robustness. In this work, we design FAR, a new ranging scheme that can localize at 12Hz with 2cm median error while withstanding up to 0dB noise, multipath and Doppler effect issues. Our implementation runs on commodity smartphones and does not require any external infrastructure. Moreover, distance measurement accuracy is comparable to that of Kinect, a fixed-infrastructure motion capture system. Evaluation on users playing two prototype games indicate that FAR can fully support dynamic game motion in real-time. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2307636.2307638 | MobiSys |
Keywords | Field | DocType |
phone-to-phone action game,fixed-infrastructure motion capture system,distinctive gameplay experience,sword fight,distance measurement accuracy,dynamic game motion,new class,commodity phone,mobile gaming,prototype game,mobile game,accurate distance,mmg game,doppler effect,real time,motion capture,dynamic game | Multipath propagation,Motion capture,Enabling,Computer science,Robustness (computer science),Ranging,Phone,Sequential game,Multimedia,SWORD | Conference |
Citations | PageRank | References |
62 | 2.33 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zengbin Zhang | 1 | 536 | 27.05 |
| David Chu | 2 | 1151 | 58.68 |
| Xiaomeng Chen | 3 | 214 | 11.18 |
| Thomas Moscibroda | 4 | 4047 | 200.40 |