Idioma:

Energy-efficient design of a presbyopia correction wearable powered by mobile GPUs and FPGAs

Mompeán, Juan ; Aragón, Juan L. ; Artal, Pablo

The Journal of supercomputing, 2022, Vol.78 (9), p.11657-11679 [Periódico revisado por pares]

New York: Springer US

Texto completo disponível

Citações Citado por

Enviar para

Título:
Energy-efficient design of a presbyopia correction wearable powered by mobile GPUs and FPGAs
Autor: Mompeán, Juan ; Aragón, Juan L. ; Artal, Pablo
Assuntos: Algorithms ; Compilers ; Computer Science ; Design optimization ; Field programmable gate arrays ; Frames (data processing) ; Graphics processing units ; Hardware ; Interpreters ; Lenses ; Optoelectronics ; Parallel processing ; Platforms ; Portable equipment ; Presbyopia ; Processor Architectures ; Programming Languages ; Real time ; Tracking ; Wearable technology
É parte de: The Journal of supercomputing, 2022, Vol.78 (9), p.11657-11679
Descrição: This paper presents an energy-efficient design and evaluation of a novel portable device for the automatic correction of presbyopia in human eyes driven by the use of opto-electronic lenses and based on the dynamic pupil response of the subject. Due to the wearable nature of the proposed Dynamic Auto–Accommodation Glasses, in addition to the real-time requirement, an energy-efficient implementation is critical for the success of the device. In this work, the binocular pupil tracking of a subject, followed by the calculation of the eyes’ vergence, and the control of a pair of opto-electronic lenses are implemented and evaluated on several hardware platforms, including two mobile GPU/SoCs, a high-end FPGA, a low-cost FPGA, and a desktop GPU (as a reference point). The pupil tracking algorithm has been parallelized, applying different platform-specific optimizations for each case, to design a fast yet energy-efficient wearable. The hardware platforms have been evaluated to determine which one is the most appropriate for the presbyopia correction task. The experimental results show that the most energy-efficient platform is a mobile GPU (Samsung Exynos 8890) capable of processing frames at 0.016 Joules/frame, still allowing real-time processing (24 frames/sec).
Editor: New York: Springer US
Idioma: Inglês

Voltar para lista de resultados

Anterior Resultado 17 Avançar Ir para próxima página

Realização: Logos de Redes Sociais:

Energy-efficient design of a presbyopia correction wearable powered by mobile GPUs and FPGAs

Mompeán, Juan ; Aragón, Juan L. ; Artal, Pablo

New York: Springer US

Buscando em bases de dados remotas. Favor aguardar.