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	Toward A Mixed-Signal Reconfigurable ASIC for Real-Time Activity Recognition
	Lei Wang; Surapa Thiemjarus; Benny Lo; Guang-Zhong Yang
	2008
会议名称	5th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2008
英文摘要	In recent years, there have been increasing interests in context aware sensing based upon ultra-low power wearable sensors. These applications require efficient processing-on-node capabilities to minimise the overall power consumption and wireless transmission bandwidths. In this paper, a novel reconfigurable mixed-signal ASIC designed for real-time activity recognition has been proposed. The system architecture integrates all signal conditioning and data processing circuits onto a single silicon substrate with configurable analogue computing and artificial neuron network-inspired classification blocks. The ASIC is designed using conventional EDA tools and has been fabricated using AMS 0.35μ m CMOS technology with a final chip size of 23.8 mm2. An on-chip inferencing engine derived from off-chip training data has been developed. Both design considerations and implementation details of the ASIC are discussed. Preliminary simulation results indicate the desired performance of the ASICfor real-time activity classification.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/2313]
专题	深圳先进技术研究院_医工所
作者单位	2008
推荐引用方式 GB/T 7714	Lei Wang,Surapa Thiemjarus,Benny Lo,et al. Toward A Mixed-Signal Reconfigurable ASIC for Real-Time Activity Recognition[C]. 见:5th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2008.

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