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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ghorbel, A. Jallouli, M. Ben Amor, N. |
| Copyright Year | 2015 |
| Description | Author affiliation: CES Lab. ENIS, Univ. de Sfax, Sfax, Tunisia (Ghorbel, A.; Jallouli, M.; Ben Amor, N.) |
| Abstract | An Human Machine Interface for wheelchair control based on facial expressions is presented. The interface is implemented on embedded system architecture based on ARM processor rather than personal computer, like usual wheelchair command implementation, to reduce energy consumption while maintaining similar computing performance. The command technique code is complex but offers inherent parallelism. To reduce processing time, two parallelism levels are exploited. The first one is instruction parallelism which is applied to a dual core architecture using OpenMP directives. The second level is data parallelism in which an SIMD specific unit is exploited. In both parallelization techniques, a minimum of initial code re-manipulation is required. As processing unit, we choose the Pandaboard-ES platform that includes a dual-core ARM9 and a set of control interfaces. The obtained preliminary experiments demonstrate the effectiveness of this parallelization and conduct to a 40% reduction of processing time against a conventional x86 CPU. |
| Starting Page | 1586 |
| Ending Page | 1590 |
| File Size | 805215 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780992862633 |
| ISSN | 20761465 |
| DOI | 10.1109/EUSIPCO.2015.7362651 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-31 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | EURASIP |
| Subject Keyword | Neon Wheelchairs Instruction sets HMI Embedded system Signal processing algorithms Computer architecture Dual-core Parallel processing Parallelism Face |
| Content Type | Text |
| Resource Type | Article |
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