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Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine [PDF]
, 2012 Activity-Based Computing aims to capture the state of the user and its environment by exploiting heterogeneous sensors in order to provide adaptation to exogenous computing resources.
Anguita, Davide +4 more
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Towards Physical Activity Recognition Using Smartphone Sensors [PDF]
2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013 In recent years, the use of a smartphone accelerometer in physical activity recognition has been well studied. However, the role of a gyroscope and a magnetometer is yet to be explored, both when used alone as well as in combination with an accelerometer.
Shoaib, M. +2 more
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Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone
International Journal of Distributed Sensor Networks, 2013 Physical activity (PA) recognition has recently become important in activity monitoring for the public healthcare. Although body-worn sensors are well suited to collect data on activity patterns for long periods of time, users may forget to wear special ...
Yi He, Ye Li
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Real-Time UAV Autonomous Localization Based on Smartphone Sensors
Sensors, 2018 Localization in GPS-denied environments has become a bottleneck problem for small unmanned aerial vehicles (UAVs). Smartphones equipped with multi-sensors and multi-core processors provide a choice advantage for small UAVs for their high integration and ...
Boxin Zhao +4 more
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Tourism and the smartphone app: capabilities, emerging practice and scope in the travel domain. [PDF]
, 2012 Based on its advanced computing capabilities and ubiquity, the smartphone has rapidly been adopted as a tourism travel tool.With a growing number of users and a wide varietyof applications emerging, the smartphone is fundamentally altering our current ...
Bærenholdt J. O. +15 more
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DeepWalking: Enabling Smartphone-based Walking Speed Estimation Using Deep Learning
, 2018 Walking speed estimation is an essential component of mobile apps in various fields such as fitness, transportation, navigation, and health-care. Most existing solutions are focused on specialized medical applications that utilize body-worn motion ...
Shrestha, Aawesh, Won, Myounggyu
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Human activity recognition making use of long short-term memory techniques [PDF]
, 2019 The optimisation and validation of a classifiers performance when applied to real world problems is not always effectively shown. In much of the literature describing the application of artificial neural network architectures to Human Activity ...
Shenfield, Alex, Wainwright, Richard
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Smartphone Sensor Dataset for Driver Behavior Analysis
Data in Brief, 2022 Driving is considered one of the most difficult tasks because the driver is responsible for a variety of other responsibilities in addition to driving. The primary responsibility of a driver should be to properly operate a vehicle while concentrating solely on driving. However, he/she must also complete various secondary jobs at the same time. Modeling
Pawan Wawage, Yogesh Deshpande
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Chemical Engineering Transactions, 2022 This paper describes a prototype of artificial olfactory system or electro-optical nose (NEONOSE) containing commercially available MOX and optical (NDIR) gas sensors, forming an array of a total of 13 sensors (six MOX and seven NDIR sensors).
Felix Melendez +4 more
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Suitability of Smartphone Inertial Sensors for Real-Time Biofeedback Applications
Sensors, 2016 This article studies the suitability of smartphones with built-in inertial sensors for biofeedback applications. Biofeedback systems use various sensors to measure body functions and parameters.
Anton Kos, Sašo Tomažič, Anton Umek
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