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Piepser 2.0 : A Self-Sustaining Smartwatch to Maximize the Paragliders Flytime

Baumann, N. (author)
Ganz, M. (author)
Magno, M. (author)
Institute of Electrical and Electronics Engineers Inc. 2020
2020
English.
In: IEEE Transactions on Instrumentation and Measurement. - : Institute of Electrical and Electronics Engineers Inc.. - 0018-9456 .- 1557-9662. ; 69:4, s. 1445-1454
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • The main motivation of paraglider pilots is to stay in the air for as long as possible. Therefore, paraglider pilots are always searching for thermal upwind that allow them to gain altitude. These thermal lifts are difficult to detect. Therefore, sensors and devices that indicate the vertical speed (so-called variometers) are widely used among paraglider pilots. This article presents the design and the implementation of an ultralow-power, self-sustaining, high-precision, wrist-worn variometer with a minimal form factor but infinite lifetime, which can visually and acoustically indicate the vertical velocity. This article demonstrates the benefits of combining multisource energy harvesting (EH) for wearable devices with low power design, exploiting a novel near-threshold ARM Cortex-M4F microcontroller, the Ambiq Apollo2, for the onboard processing. The experimental results show a power consumption of only 17.12~\mu \text{W} in sleep mode and 1937.21~\mu \text{W} in the worst case scenario when processing the data and outputting an audio feedback. Measurements confirmed that combining both thermal and solar EH makes the designed electronics self-sustaining. Without EH, the system will be operational for up to 372 h in always-on mode (worst case scenario) supplied by a 200-mAh lithium-ion battery. © 1963-2012 IEEE.

Keyword

Barometric sensors
low-power sensing
low-power wearables
precision flight instruments
variometers
Data handling
Electric inductors
Electric power supplies to apparatus
Energy harvesting
Lithium-ion batteries
Wearable computers
Low Power
Multi-source energy harvesting
On-board processing
Precision flight
Vertical velocity
Worst case scenario
Wearable sensors

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Baumann, N.
Ganz, M.
Magno, M.
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IEEE Transaction ...
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Mid Sweden University

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