Abstract:
A wearable based long-term lifelogging system is desirable for the purpose of reviewing and improving users lifestyle habits. Energy harvesting (EH) is a promising means ...Show MoreMetadata
Abstract:
A wearable based long-term lifelogging system is desirable for the purpose of reviewing and improving users lifestyle habits. Energy harvesting (EH) is a promising means for realizing sustainable lifelogging. However, present EH technologies suffer from instability of the generated electricity caused by changes of environment, e.g., the output of a solar cell varies based on its material, light intensity, and light wavelength. In this paper, we leverage this instability of EH technologies for other purposes, in addition to its use as an energy source. Specifically, we propose to determine the variation of generated electricity as a sensor for recognizing "places" where the user visits, which is important information in the lifelogging system. First, we investigate the amount of generated electricity of selected energy harvesting elements in various environments. Second, we design a system called EHAAS (Energy Harvesters As A Sensor) where energy harvesting elements are used as a sensor. With EHAAS, we propose a place recognition method based on machine-learning and implement a prototype wearable system. Our prototype evaluation confirms that EHAAS achieves a place recognition accuracy of 88.5% F-value for nine different indoor and outdoor places. This result is better than the results of existing sensors (3-axis accelerometer and brightness). We also clarify that only two types of solar cells are required for recognizing a place with 86.2% accuracy.
Date of Conference: 11-15 March 2019
Date Added to IEEE Xplore: 22 July 2019
ISBN Information:
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- IEEE Keywords
- Index Terms
- Energy Harvesting ,
- Place Recognition ,
- Sensors For Recognition ,
- Machine Learning ,
- Light Intensity ,
- Accelerometer ,
- Solar Cells ,
- Wavelength Of Light ,
- Wearable System ,
- Indoor Places ,
- Illumination ,
- Small Cell ,
- Light Conditions ,
- Piezoelectric ,
- Wearable Devices ,
- April 2018 ,
- Quantum Efficiency ,
- Kind Of Material ,
- Skin Temperature ,
- Thermoelectric Coolers ,
- Bluetooth Low Energy ,
- polySia ,
- Energy Harvesting Devices ,
- Organic Thin Films ,
- Amorphous Silicon ,
- User Movement ,
- Photovoltaic Effect ,
- Indoor Localization ,
- Experiment Board
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Energy Harvesting ,
- Place Recognition ,
- Sensors For Recognition ,
- Machine Learning ,
- Light Intensity ,
- Accelerometer ,
- Solar Cells ,
- Wavelength Of Light ,
- Wearable System ,
- Indoor Places ,
- Illumination ,
- Small Cell ,
- Light Conditions ,
- Piezoelectric ,
- Wearable Devices ,
- April 2018 ,
- Quantum Efficiency ,
- Kind Of Material ,
- Skin Temperature ,
- Thermoelectric Coolers ,
- Bluetooth Low Energy ,
- polySia ,
- Energy Harvesting Devices ,
- Organic Thin Films ,
- Amorphous Silicon ,
- User Movement ,
- Photovoltaic Effect ,
- Indoor Localization ,
- Experiment Board
- Author Keywords