Results 141 to 150 of about 109,173 (181)

Indoor geolocation on multi-sensor smartphones

Proceeding of the 11th annual international conference on Mobile systems, applications, and services, 2013
In this demo, we present an efficient hybrid indoor positioning solution that uses multi-sensory location-oriented observations, including WiFi, accelerometer, gyroscope and digital compass data, that are widely available on Android smartphones.
Li, C. -L, Laoudias, C., Larkou, G., Tsai, Y. -K, Zeinalipour-Yazti, D., Panayiotou, Christos G., Li, C. -L, Laoudias, C., Larkou, G., Tsai, Y. -K, Zeinalipour-Yazti, D., Panayiotou, Christos G.   +11 more
openaire   +3 more sources

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 ...
Alvina Anjum, Muhammad Usman Ilyas
openaire   +1 more source

Interrogation of FBG sensor by a smartphone

Optical Fiber Sensors Conference 2020 Special Edition, 2021
Smartphone-based interrogation of FBG sensor is reported for the first time. Setup consists of a smartphone and low cost off-the shelf available components: a section of DVD disk, razor blade slit and a 3D-printed holder. Smartphone flashlight LED was used as a light source, and FBG spectra were projected on the smartphone camera by a DVD disk.
Aleksandr A. Markvart, Leonid B. Liokumovich, Nikolai A. Ushakov   +2 more
openaire   +1 more source

Sensitivity of Sensors Built in Smartphones

2015
In our earlier researches we examined the reliability and accuracy of sensors used in outdoor positioning. Results have shown that they are not as reliable as many think. So the question rightly arises: what sensor could be the solution for indoor navigation.
Zoltán Horváth, Ildiko Jenak, Tianhang Wu, Cui Xuan   +3 more
openaire   +1 more source

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 0001
openaire   +1 more source

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
openaire   +1 more source

Influenza surveillance and forecast with smartphone sensors

Computing, 2013
In this paper we introduce an influenza surveillance and forecast system (ISFS) that can track the proliferation of influenza and predict potential infections by analyzing smartphone sensor readings. While previous studies investigate social connectivity to deduce proliferation paths, we focus on the physical contacts of each individual that are the ...
Sang Hoon Lee, Yunmook Nah, Lynn Choi
openaire   +1 more source

Smartphone sensor data as digital evidence

Computers & Security, 2013
The proliferation of smartphones introduces new opportunities in digital forensics. One of the reasons is that smartphones are usually equipped with sensors (e.g. accelerometer, proximity sensor, etc.), hardware which can be used to infer the user's context.
Alexios Mylonas, Vasilis Meletiadis, Lilian Mitrou, Dimitris Gritzalis   +3 more
openaire   +1 more source

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
openaire   +1 more source

Smartphone sensors as random bit generators

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), 2014
Finding good entropy sources, designing deterministic (pseudo) random number generators, or simply finding suitable non-deterministic random number generators are major challenges. The goal of this paper is to evaluate the use of three motion sensors present in smartphones as potential nondeterministic, true random bit generators (TRNG).
Joseph Loutfi, Ali Chehab, Imad H. Elhajj, Ayman I. Kayssi   +3 more
openaire   +1 more source