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. 2018 Nov 27;51(6):2840–2846. doi: 10.3758/s13428-018-1164-y

Table 1.

A comparison of the features offered by current research methods to track location from smartphones

P M FTU Features Signal Extra
AS CR C GPS Wi-fi Ce PI PM OS
PEG LOG Android * * * * * * * * * * *
AWARE (Ferreira, Kostakos, & Dey, 2015) Android/iOS * * * * * * * * * *
Device Analyser (Wagner, Rice, & Beresford, 2014) Android * * * * * *
EmotionSense (Lathia, Rachuri, Mascolo, & Rentfrow, 2013) Android * * * * * *
Funf (Aharony, Pan, Ip, Khayal, & Pentland, 2011) Android * * * * * * * * *
Lifedata (Runyan et al., 2013) Android/iOS * * * * * *
Google Timeline (Google, 2018) Android/iOS * * * * * * * * *
MetricWire (2018) Android/iOS * * * * * * * * *
Momento (Carter, Mankoff, & Heer, 2007) Android * * *
MovisensXS (2018) Android * * * * * * * * *
Ohmage (Ramanathan et al., 2012) Android/iOS * * * * * *
OpenPaths (2017) Android/iOS * * * * * * * *
ResearchKit (Apple, 2016) iOS * * * * * * *
SystemSens (Falaki, Mahajan, & Estrin, 2011) Android * * * * *

P = platform, M = actively maintained, FTU = free to use, AS = available in app store, CR = continuous recording, C = customizable, GPS = extracts signal from global positioning system, Wi-fi = computes location from wi-fi connection, Ce = cellular location tracking, PI = assists with accurate and longitudinal point of interest mapping, PM = allows for reliable path mapping of movements, OS = open source code