Results 41 to 50 of about 107,337 (260)
Evaluating indoor positioning systems in a shopping mall : the lessons learned from the IPIN 2018 competition [PDF]
, 2019 The Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically.
Ali, Muhammad Usman +60 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
doaj +1 more source
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 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
core +1 more source
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
doaj
Validation of smartphone step count algorithm used in STARFISH smartphone application [PDF]
, 2017 BACKGROUND: Smartphone sensors are underutilised in rehabilitation. OBJECTIVE: To validate the step count algorithm used in the STARFISH smartphone application. METHODS: Twenty-two healthy adults (8 male, 14 female) walked on a treadmill for 5 minutes at
Abel +19 more
core +2 more sources
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
doaj +1 more source