Abstract
Current smartphones house a wide variety of sensors and the processing power has increased heavily in recent years. These capabilities can be exploited to implement smartphones as mobile sensing and processing devices in a wide range of applications. This paper discusses two initial biometric applications which were implemented on a standard PC and a Nexus S smartphone to analyze the relative processing power of each. In addition to providing benchmarks for the processing power of the smartphone and PC platforms, such a biometric implementation also serves as a proof-of-concept measurement and processing application. For the initial experiments a speaker recognition system was developed in Java and a face recognition system was developed in C++ (native Android code for the smartphone) using existing open source software libraries. The non-native Java application was found to be about 30 times slower on the phone than on the PC and the native C++ application was about 21 times slower. © 2012 IEEE.
| Original language | English |
|---|---|
| Title of host publication | 2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings |
| Pages | 703-706 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | 2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012 - Graz, Austria Duration: 13 May 2012 → 16 May 2012 |
Conference
| Conference | 2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012 |
|---|---|
| Country/Territory | Austria |
| City | Graz |
| Period | 13/05/12 → 16/05/12 |
Research Keywords
- Android
- biometrics
- face recognition
- mobile processing
- speaker recognition