Toward a mixed-signal reconfigurable ASIC for real-time activity recognition
Toward a mixed-signal reconfigurable ASIC for real-time activity recognition
复制标题
面向实时活动识别的混合信号可重构 ASIC
DOI：
10.1109/issmdbs.2008.4575060
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Guang
中科院分区：
文献类型：
--
作者：
Lei Wang;S. Thiemjarus;B. Lo;Guang
近年来，基于超低功耗可穿戴传感器的环境感知技术受到了越来越多的关注。这些应用需要高效的节点处理能力，以最大限度地降低总体功耗和无线传输带宽。本文提出了一种用于实时活动识别的新型可重构混合信号ASIC。该系统架构将所有信号调理和数据处理电路集成到单个硅衬底上，具有可配置的模拟计算和人工神经元网络启发的分类模块。该ASIC使用传统的EDA工具进行设计，采用AMS 0.35um CMOS工艺制造，最终芯片尺寸为23.8mm2。开发了一种从片外训练数据派生的片上推理引擎。讨论了ASIC的设计思想和实现细节。初步模拟结果表明，该ASIC在实时活动分类方面达到了预期的性能。
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 0.35mum 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 ASIC for real-time activity classification.