论文标题
Infiniwolf：具有双源能量收集的能源高效智能手镯用于边缘计算
InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting
论文作者
论文摘要
这项工作提出了Infiniwolf，这是一种新型的多传感器智能手表，可以实现自我可持续性利用热能和太阳能收集，从而执行计算高要求的任务。智能手表既嵌入了带有ARM Cortex-M处理器的系统芯片（SOC）和蓝牙低能（BLE）和Wolf先生，沃尔夫先生是一个基于开放的RISC-RISC-V-V-v-varlate Ultra-Low-Low-Power处理器，可提高板上的处理能力，同时提高能源效率。我们基于样本应用程序场景，在可穿戴的多传感器手镯上使用多层人工神经网络执行应力检测的样本场景演示了其功能。实验结果表明，沃尔夫先生对臂皮层M4F微型控制器的效率以及在特定假设下的可能性，在室内条件下每分钟每分钟进行多达24分的压力分类，这是可以自我维持的。
This work presents InfiniWolf, a novel multi-sensor smartwatch that can achieve self-sustainability exploiting thermal and solar energy harvesting, performing computationally high demanding tasks. The smartwatch embeds both a System-on-Chip (SoC) with an ARM Cortex-M processor and Bluetooth Low Energy (BLE) and Mr. Wolf, an open-hardware RISC-V based parallel ultra-low-power processor that boosts the processing capabilities on board by more than one order of magnitude, while also increasing energy efficiency. We demonstrate its functionality based on a sample application scenario performing stress detection with multi-layer artificial neural networks on a wearable multi-sensor bracelet. Experimental results show the benefits in terms of energy efficiency and latency of Mr. Wolf over an ARM Cortex-M4F micro-controllers and the possibility, under specific assumptions, to be self-sustainable using thermal and solar energy harvesting while performing up to 24 stress classifications per minute in indoor conditions.
