Accelerometer-based transportation mode detection on smartphones

By Samuli Hemminki, Petteri Nurmi, Sasu Tarkoma. ACM International Conference on Embedded Networked Sensor Systems, 2013

462 citations recorded by the source corpus.

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Smart Devices are Different: Assessing and MitigatingMobile Sensing Heterogeneities for Activity Recognition (2015, background): “Accelerometer-based HAR has been deployed in a large number of domains including smart homes [5, 32, 38], health care [31, 37], daily activity tracking [29], fitness tracking [16], fall detection of elderly people [18] and transportation mode detection [9, 24, 42].”
ParkUs: A Novel Vehicle Parking Detection System (2017, methodology): “Previous research suggested that better detection between stationary, walking and in-vehicle modes can be achieved by estimating the gravity vector to generate an accurate decomposition of the tri-axial data (Hemminki, Nurmi, and Tarkoma 2013).”
Recognizing Detailed Human Context in the Wild from Smartphones and Smartwatches (2016, background): “Hemminki et al. [19] targeted detecting transportation modes and speciﬁcally designed features that would be less sensitive to placement of the phone.”