Commit 0fb2a022 authored by Archan MISRA's avatar Archan MISRA

added new references; expanded on PoWiFi

parent 5e008df3
......@@ -111,6 +111,13 @@
note = {Accessed: 2017-08-25}
}
@misc{solepower,
title = {SolePower Smart Boots},
howpublished = {\url{http://www.solepowertech.com/smartboots/}},
year={2018},
note = {Accessed: 2018-04-04}
}
@inproceedings{warneke2001smart,
title={Smart dust mote forerunners},
author={Warneke, Brett and Atwood, Bryan and Pister, Kristofer SJ},
......@@ -286,7 +293,19 @@ month={July},
publisher = {ACM},
}
inproceedings{ryokai2014,
@inproceedings{hester2017b,
author = {Hester, Josiah and Sorber, Jacob},
title = {The Future of Sensing is Batteryless, Intermittent, and Awesome},
booktitle = {Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems},
series = {SenSys '17},
year = {2017},
location = {Delft, Netherlands},
doi = {10.1145/3131672.3131699},
publisher = {ACM},
}
@inproceedings{ryokai2014,
author = {Ryokai, Kimiko and Su, Peiqi and Kim, Eungchan and Rollins, Bob},
title = {EnergyBugs: Energy Harvesting Wearables for Children},
booktitle = {Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
......@@ -357,3 +376,74 @@ month={Nov},}
publisher = {USENIX Association},
}
@inproceedings{thomaz2015,
author = {Thomaz, Edison and Essa, Irfan and Abowd, Gregory D.},
title = {A Practical Approach for Recognizing Eating Moments with Wrist-mounted Inertial Sensing},
booktitle = {Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing},
series = {UbiComp '15},
year = {2015},
location = {Osaka, Japan},
pages = {1029--1040},
doi = {10.1145/2750858.2807545},
publisher = {ACM},
}
@inproceedings{parate2014,
author = {Parate, Abhinav and Chiu, Meng-Chieh and Chadowitz, Chaniel and Ganesan, Deepak and Kalogerakis, Evangelos},
title = {RisQ: Recognizing Smoking Gestures with Inertial Sensors on a Wristband},
booktitle = {Proceedings of the 12th Annual International Conference on Mobile Systems, Applications, and Services},
series = {MobiSys '14},
year = {2014},
location = {Bretton Woods, New Hampshire, USA},
pages = {149--161},
doi = {10.1145/2594368.2594379},
publisher = {ACM},
}
@inproceedings{ertin2011,
author = {Ertin, Emre and Stohs, Nathan and Kumar, Santosh and Raij, Andrew and al'Absi, Mustafa and Shah, Siddharth},
title = {AutoSense: Unobtrusively Wearable Sensor Suite for Inferring the Onset, Causality, and Consequences of Stress in the Field},
booktitle = {Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems},
series = {SenSys '11},
year = {2011},
location = {Seattle, Washington},
pages = {274--287},
doi = {10.1145/2070942.2070970},
publisher = {ACM},
}
@inproceedings{campbell2014,
author = {Campbell, Bradford and Dutta, Prabal},
title = {An Energy-harvesting Sensor Architecture and Toolkit for Building Monitoring and Event Detection},
booktitle = {Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings},
series = {BuildSys '14},
year = {2014},
location = {Memphis, Tennessee},
doi = {10.1145/2674061.2674083},
publisher = {ACM},
}
@inproceedings{campbell2014b,
author = {Campbell, Bradford and Ghena, Branden and Dutta, Prabal},
title = {Energy-harvesting Thermoelectric Sensing for Unobtrusive Water and Appliance Metering},
booktitle = {Proceedings of the 2Nd International Workshop on Energy Neutral Sensing Systems},
series = {ENSsys '14},
year = {2014},
location = {Memphis, Tennessee},
doi = {10.1145/2675683.2675692},
publisher = {ACM},
}
@article{li2017,
author = {Li, Xiang and Zhang, Daqing and Lv, Qin and Xiong, Jie and Li, Shengjie and Zhang, Yue and Mei, Hong},
title = {IndoTrack: Device-Free Indoor Human Tracking with Commodity Wi-Fi},
journal = {Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.},
issue_date = {September 2017},
volume = {1},
number = {3},
month = sep,
year = {2017},
doi = {10.1145/3130940},
publisher = {ACM},
}
......@@ -24,7 +24,7 @@ solar lighting generally provides the highest amount of harvested power as
demonstrated by Heliomotes~\cite{lin2005} to power embedded devices and
Hande et. al~\cite{hande2007} to power indoor APs. Kinetic energy is another
popular energy harvesting source that can use body movements (e.g.
EnergyBug~\cite{ryokai14}), and walking (e.g. SolePower~\cite{XXX}) to
EnergyBug~\cite{ryokai2014}), and walking (e.g. SolePower~\cite{solepower}) to
power ultra low power body sensors. Thermal energy harvesting uses
temperature gradients to generate an electrical charge. For example,
Thermes~\cite{campbell2014} used thermal harvesting to detect water usage
......@@ -40,12 +40,10 @@ environments (e.g. dark warehouses) where other methods would not work.
Harvesting power from wireless transmissions has also been studied and
usually requires custom-designed hardware for the goal of charging RFID tags
and devices -- with WISP~\cite{sample2008} being a very well known example
that is used to power a variety of sensors. PoWiFi~\cite{talla2015powering}
modified AP firmware to harvest energy from WiFi transmissions without the
use of beamforming. Using beamforming to increase energy harvesting yield
has been studied via simulations by Huang et.
al~\cite{huang2016performance} and Liu et. al~\cite{liu2014multi}. To the
best of our knowledge, \name is the first working prototype.
that is used to power a variety of sensors. PoWiFi~\cite{talla2015powering} is the work closest
in spirit, and the precursor, to our approach. PoWiFi modifies AP firmware to transmit `power packets' (without using beamforming) on multiple free channels simultaneously, and harvests such RF energy using a matched filter on the receiver that can simultaneously harvest power across multiple channels. The authors demonstrate that such WiFi power harvesting can be used to operate low power embedded sensors at reasonably large distances (up to 20 ft away), but with relatively low duty cycles (e.g., a camera image once every 20 mins). Using beamforming to increase energy harvesting yield
has been studied via simulations by Huang et. al~\cite{huang2016performance} and Liu et. al~\cite{liu2014multi}. To the
best of our knowledge, \name is the first working prototype to utilize directional WiFi transmissions and a triggered operation (of the wearable platform) to support sensing of human activities.
\subsection{WiFi-based Localization}
......
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