Abstract | ||
---|---|---|
This study proposes a phone-based system to detect the gait anomalies of a person waking under the influence of alcohol. This phone-based system can sense a person's alcohol usage and record the location/time context. This data can help identify problem drinking behaviors, such as drinking before work or before driving. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1145/2370216.2370354 | UbiComp |
Keywords | Field | DocType |
problem drinking behavior,phone-based gait analysis,gait anomaly,alcohol usage,phone-based system,time context | Mobile sensing,Gait,Computer science,Human–computer interaction,Phone,Gait analysis,Multimedia | Conference |
Citations | PageRank | References |
7 | 0.69 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Cindy Hsin-Liu Kao | 1 | 178 | 17.54 |
Bo-Jhang Ho | 2 | 32 | 4.96 |
Allan C. Lin | 3 | 8 | 1.05 |
Hao-Hua Chu | 4 | 1168 | 98.54 |