A Survey on Approaches of Motion Mode Recognition Using Sensors

Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey

“…Mode detection has been done using various approaches in the literature, which include: rule-based, machine learning, and discrete choice approaches. Elhoushi et al [5] have done a comprehensive and comparative literature review on travel mode detection using different sensors and different classification methods.…”

Smartphone Motion Mode Recognition

“…An appropriate calibration phase to find the step length algorithm gains is required before PDR can be applied. These gains are very sensitive to the user and smartphone mode as recent papers such as [5], showed that by recognizing the mode of the smartphone (handheld, in a pocket, texting and etc) and/or the pedestrian (walking, running, elevator and etc) [6] (and an comprehensive survey paper [7]) the accuracy of PDR algorithms can greatly be improved.…”

Elderly activity recognition using smartphones and wearable devices

“…System Elhoushi et al (2017) show that a Motion Mode Recognition (MMR) system, which is categorized as a subset of HAR systems, must fill the usability and accessibility requirements, not to mention the acceptance of the system. From the standpoint of the authors, a HAR system shall be flexible, non-intrusive and manager the power consumption and computational resources constraints.…”

“…As complex activities are composed of a set of simple activities, the difficulty is to identify more than one activity at the same time and to check their correlation and if they define a complex activity. The recognition of complex activities has been discussed as future work by many researchers (LARA; LABRADOR, 2013;ELHOUSHI et al, 2017;CHATZAKI et al, 2017): one possible approach to detect complex activities is the fusion of sensors and their data. In particular in the context of older adults, researchers must take into account guidelines for HAR systems centered on elder users -such as those compiled by the author (Section 4.1.2, page 64).…”

“…Main simple human activities recognized by HAR system in the literature (LARA; LABRADOR, 2013)(WEISS et al, 2016) (ELHOUSHI et al, 2017 …”