Demo abstract: AudioDAQ: Turning the mobile phone's headset port into a universal data acquisition interface

Andrew Robinson, S. Verma, P. Dutta
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引用次数: 2

Abstract

Smartphone peripherals like the Square card reader, Red-Eye mini, and HiJack platform suggest a growing interest in using the headset port for more than just headsets. How-ever, these peripherals only support sporadic activities in an efficient manner. Continuous sensing applications - like monitoring EKG signals - is possible but remains too inefficient for many realistic usage scenarios. We present Au-dioDAQ, a new sensor data acquisition platform. In contrast with prior work, AudioDAQ requires no hardware or software modifications on the phone, uses significantly less power, and allows continuous data capture over extended periods of time. The design is efficient because we draw all necessary power from the microphone bias voltage, and it is general because this voltage is present in every headset port. Data is modulated within the audible range, captured with the built-in voice recording app, and sent to a server for processing and storage. We show the viability of this approach by demonstrating an EKG monitor that can capture data continuously for hours.
演示摘要:AudioDAQ:将手机耳机接口变成通用的数据采集接口
Square读卡器、Red-Eye mini和HiJack平台等智能手机外设表明,人们对耳机接口的兴趣越来越大,不仅限于耳机。然而,这些外围设备只能有效地支持零星的活动。连续传感应用(如监测心电图信号)是可能的,但对于许多实际使用场景来说仍然效率太低。我们提出了Au-dioDAQ,一个新的传感器数据采集平台。与之前的工作相比,AudioDAQ不需要对手机进行硬件或软件修改,功耗显著降低,并且可以在较长时间内连续捕获数据。该设计是高效的,因为我们从麦克风偏置电压中提取所有必要的功率,并且它是通用的,因为该电压存在于每个耳机端口。数据在可听范围内调制,通过内置的录音应用程序捕获,并发送到服务器进行处理和存储。我们通过展示一种可以连续数小时捕获数据的心电图监护仪来证明这种方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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