Smart System Architecture for Sensors with Integrated Signal Processing and AI

被引:1
|
作者
Lammel, Gerhard [1 ]
Dorsch, Rainer [1 ]
Giesselmann, Timo [1 ]
Goldeck, Jens [1 ]
Hahn, Jochen [1 ]
Hasan, Nouman Naim [2 ]
Meier, Juergen [3 ]
Gandhi, Kaustubh [4 ]
机构
[1] Bosch Sensortec GmbH, BST, EASI, D-72770 Reutlingen, Germany
[2] Bosch Sensortec GmbH, BST, ESW4, D-72770 Reutlingen, Germany
[3] Bosch Sensortec GmbH, BST, ESW3, D-72770 Reutlingen, Germany
[4] Bosch Sensortec GmbH, BST, PJ MOB, D-72770 Reutlingen, Germany
关键词
AI; self-learning; architecture; digital signal processing; edge computing; low-power; wearables;
D O I
10.1109/SSI52265.2021.9466993
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Mobile devices like smartphones, smartwatches, hearables and others rely more and more on MEMS sensors as user interface and as a link to the physical world. Powerful algorithms can detect meaningful features and classify sensor data, like counting steps from motion sensors, classifying different sport activities, detecting gestures for device control or dead reckoning for pedestrian navigation. In order to achieve ultra-low power consumption in execution of high performance algorithms, while staying flexible in programming, we developed over the last years specialized architectures for smart sensor systems, focusing on close hardware/software co-design.
引用
收藏
页数:4
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