Name
Abstract | ||
|---|---|---|
We present LiSense, the first-of-its-kind system that enables both data communication and fine-grained, real-time human skeleton reconstruction using Visible Light Communication (VLC). LiSense uses shadows created by the human body from blocked light and reconstructs 3D human skeleton postures in real time. We overcome two key challenges to realize shadow-based human sensing. First, multiple lights on the ceiling lead to diminished and complex shadow patterns on the floor. We design light beacons enabled by VLC to separate light rays from different light sources and recover the shadow pattern cast by each individual light. Second, we design an efficient inference algorithm to reconstruct user postures using 2D shadow information with a limited resolution collected by photodiodes embedded in the floor. We build a 3 m x 3 m LiSense testbed using off-the-shelf LEDs and photodiodes. Experiments show that LiSense reconstructs the 3D user skeleton at 60 Hz in real time with 10 degrees mean angular error for five body joints. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2789168.2790110 | ACM International Conference on Mobile Computing and Networking |
Keywords | Field | DocType |
Visible light communication,sensing,skeleton reconstruction | Beacon,Telecommunications,Ray,Computer science,Testbed,Visible light communication,Artificial intelligence,Light-emitting diode,Photodiode,Distributed computing,Computer vision,Shadow,Human skeleton | Conference |
Citations | PageRank | References |
52 | 1.71 | 53 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianxing Li | 1 | 360 | 17.94 |
| Chuankai An | 2 | 120 | 9.00 |
| Tian Zhao | 3 | 113 | 13.56 |
| Andrew T. Campbell | 4 | 8958 | 759.66 |
| Xia Zhou | 5 | 1264 | 70.59 |