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Piepser 2.0: A Self-Sustaining Smartwatch to Maximize the Paragliders Flytime
2020 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 69, no 4, p. 1445-1454, article id 8930284Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. Vol. 69, no 4, p. 1445-1454, article id 8930284
Keywords [en]
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
Identifiers
URN: urn:nbn:se:miun:diva-41577DOI: 10.1109/TIM.2019.2957865ISI: 000521164300003Scopus ID: 2-s2.0-85082169768OAI: oai:DiVA.org:miun-41577DiVA, id: diva2:1536136
Available from: 2021-03-10 Created: 2021-03-10 Last updated: 2021-04-30Bibliographically approved

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