Results 241 to 250 of about 107,337 (260)

Manoeuvre segmentation using smartphone sensors

2016 IEEE Intelligent Vehicles Symposium (IV), 2016
In this paper, we propose a classifier-based approach for driving manoeuvre recognition from mobile phone data. We introduce a driving manoeuvre classifier using Support Vector Machines (SVM). We investigate the performance of a sliding window of velocity and angular velocity signals obtained using a smartphone as features for our classifier. Principal
Christopher Woo, Dana Kulic
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Activity recognition using smartphone sensors

2013 IEEE 10th Consumer Communications and Networking Conference (CCNC), 2013
Motion sensor embedded smartphones have provided a new platform for activity inference. These sensors, initially used for cell phone feature enhancement, are now being used for a variety of applications. Providing cell phone users information about their own physical activity in an understandable format can enable users to make more informed and ...
A. Anjum, M. U. Ilyas
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Aggregation in Smartphone Sensor Networks

2014 IEEE International Conference on Distributed Computing in Sensor Systems, 2014
The first wave of sensor network deployments from the early 2000s relied on aggregation-a strategy in which readings are combined locally using low-power radio links before they are communicated to the gateway. Aggregation reduced dependence on battery-draining, long-distance radio links, and reduced redundancy among reported data.
Nimantha Thushan Baranasuriya, Seth Lewis Gilbert, Calvin Newport, Jayanthi Rao   +3 more
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Precision smartphones sensors time synchronization

2016 International Conference on Information and Digital Technologies (IDT), 2016
This paper deals with the problem of mobile device time synchronization with millisecond accuracy. We created a solution that will allow synchronizing time on mobile phones depending on accelerometer sensor precision. Our solution is suitable for multiple mobile sensor measurement where the time accuracy of synchronization between mobile phones is ...
Vladimir Hanusniak, Michal Jostiak, Michal Zabovsky, Lubos Takac   +3 more
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Battery consumption of smartphone sensors

Journal of Reliable Intelligent Environments, 2017
Nowadays the development of smartphones entails is very fast the effect that not only the development of hardware is needed but of the batteries responsible for supplying sensors. The increased resource requirements drain mobile devices’ batteries faster and faster.
Zoltan Horvath, Ildiko Jenak, Ferenc Brachmann   +2 more
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Smartphone-Based VOC Sensor Using Colorimetric Polydiacetylenes

ACS Applied Materials & Interfaces, 2018
Owing to a unique colorimetric (typically blue-to-red) feature upon environmental stimulation, polydiacetylenes (PDAs) have been actively employed in chemosensor systems. We developed a highly accurate and simple volatile organic compound (VOC) sensor system that can be operated using a conventional smartphone.
Dong-Hoon Park, Jung-Moo Heo, Woomin Jeong, Young Hyuk Yoo, Bum Jun Park, Jong-Man Kim   +5 more
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Path Estimation from Smartphone Sensors

2018
Nowadays the knowledge about position is very important for localization based services. Thanks to knowing the position many services can be provided, such as information about people in our surrounding, firemen can be navigated during movement while rescue action, or just simply tracking position of different things in buildings.
Jan Racko, Peter Brida, Juraj Machaj, Ondrej Krejcar   +3 more
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RADIATION DOSIMETRY PROPERTIES OF SMARTPHONE CMOS SENSORS

Radiation Protection Dosimetry, 2015
During the past years, several smartphone applications have been developed for radiation detection. These applications measure radiation using the smartphone camera complementary metal-oxide-semiconductor sensor. They are potentially useful for data collection and personal dose assessment in case of a radiological incident.
Olivier, Van Hoey, Alexia, Salavrakos, Antonio, Marques, Alexandre, Nagao, Ruben, Willems, Filip, Vanhavere, Vanessa, Cauwels, Luana F, Nascimento   +7 more
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Detecting Emotions using Smartphone Sensors

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
Emotions are the driving force for posting content on a social media platform. Although modeling and predicting in emotion with social media have been proposed, they often require post-investigation such as sentiment analysis. This often limits users to be aware of negative emotional states while publishing content on social media.
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Practical driving analytics with smartphone sensors

2017 IEEE Vehicular Networking Conference (VNC), 2017
Sensing various driving behaviors, such as accelerations, brakes, turns, and change lanes — is of great interest to many applications, e.g., understanding drive quality, detecting road conditions, and more. Many such applications rely on using smartphone placed in a vehicle to collect such data for ease of deployment and use.
Lei Kang, Suman Banerjee
openaire   +1 more source