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Title: A 256 pixel, 21.6 μW infrared gesture recognition processor for smart devices
Authors: Ba, Ngoc Le
Oh, Sechang
Sylvester, Dennis
Kim, Tony Tae-Hyoung
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Ba, N. L., Oh, S., Sylvester, D., & Kim, T. T.-H. (2019). A 256 pixel, 21.6 μW infrared gesture recognition processor for smart devices. Microelectronics Journal, 86, 49-56. doi:10.1016/j.mejo.2019.02.016
Journal: Microelectronics Journal
Abstract: This paper presents a low-power digital signal processor for gesture detection using infrared (IR) sensors. IR compatible detecting algorithms are introduced to reduce power consumption and provide accurate detections for various types of gestures including sweeping in 8 directions, zooming in/out and a unique wake-up gesture. To further reduce the power, the proposed algorithm is capable of setting the processor into idle mode when there is no motion and resume active mode upon wake-up request. Test chips were fabricated in a 65 nm commercial TSMC process and occupy an area of 580 μm × 580 μm. Measurement results taking input from a 16 × 16 Heiman IR sensor array show that the proposed gesture recognition processor is able to detect correct gestures at 100 MHz maximum clock frequency. Under normal working condition, the processor consumes 21.6 μW in active mode and 7.2 μW in idle mode while processing 8-bit 16 × 16 input data array at 30 fps.
ISSN: 0026-2692
DOI: 10.1016/j.mejo.2019.02.016
Rights: © 2019 Elsevier Ltd. All rights reserved. This paper was published in Microelectronics Journal and is made available with permission of Elsevier Ltd.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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