We conduct an IRB-approved measurement study involving 27 Android smartwatch users. Using a 106-day dataset collected from our participants, we perform in-depth ...
In contrast, our measurement focuses on characterizing wearable user behavior, application usage, energy consumption, and network traffic – all in the wild.
Characterizing Smartwatch Usage in the Wild - ResearchGate
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Smartwatches tend to be more power hungry and consume more than 100 mW in almost all active modes and consume roughly 14 mW in sleep mode [31] . Basic fitness ...
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Jun 21, 2019 · ABSTRACT. We explore the predictability of smartwatch usage using a 9-month dataset collected from 27 users through a crowd-sourced user ...
This paper utilizes a smartwatch dataset collected from 832 real-world users, including different smartwatch brands and geographic locations.
Resource consumption analysis of online activity recognition on mobile phones and smartwatches · A First Look at SIM-Enabled Wearables in the Wild.
We explore the predictability of smartwatch usage using a 9-month dataset collected from 27 users through a crowd-sourced user trial.
Characterizing smartphone usage patterns from millions of android users ... Characterizing smartwatch usage in the wild. X Liu, T Chen, F Qian, Z Guo, FX ...
To measure the power consumption, we need to intercept the battery connection and use an external power monitor to provide power supply for the smartwatch.
Lin, X. Wang, and. K. Chen. Characterizing Smartwatch Usage in The Wild. In. MobiSys, 2017. 1.