DocumentCode :
1599330
Title :
Demo abstract: AudioDAQ: Turning the mobile phone´s headset port into a universal data acquisition interface
Author :
Robinson, Adam ; Verma, Shalini ; Dutta, Pranab
Author_Institution :
EECS Dept., Univ. of Michigan, Ann Arbor, MI, USA
fYear :
2012
Firstpage :
151
Lastpage :
152
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.
Keywords :
audio recording; data acquisition; electric sensing devices; microphones; mobile computing; peripheral interfaces; smart phones; AudioDAQ; EKG monitoring; HiJack; Red-Eye mini; Square card reader; built-in voice recording app; continuous sensing applications; data modulation; microphone bias voltage; mobile phone headset port; sensor data acquisition; smartphone peripheral; storage processing; universal data acquisition interface; Electrocardiography; Headphones; Microphones; Mobile handsets; Multiplexing; Ports (Computers); Servers; Audio communications; Energy harvesting; Mobile phones; Participatory sensing; Phone peripherals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing in Sensor Networks (IPSN), 2012 ACM/IEEE 11th International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/IPSN.2012.6920925
Filename :
6920925
Link To Document :
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