Browsing by Keywords "Gyroscope"
Now showing items 1-14 of 14
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Activity recognition invariant to position and orientation of wearable motion sensor units
(Bilkent University, 2019-04)We propose techniques that achieve invariance to the placement of wearable motion sensor units in the context of human activity recognition. First, we focus on invariance to sensor unit orientation and develop three ... -
Activity recognition invariant towearable sensor unit orientation using differential rotational transformations represented by quaternions
(MDPI AG, 2018)Wearable motion sensors are assumed to be correctly positioned and oriented in most of the existing studies. However, generic wireless sensor units, patient health and state monitoring sensors, and smart phones and watches ... -
BaTiO3 and TeO2 based gyroscopes for guidance systems: FEM analysis
(Taylor and Francis Inc., 2016)This paper presents the design, modeling and finite element model simulation of a micro-electromechanical system based on the ternary ferroelectric compounds and paratellurite. The dynamic behavior of the sensor structure ... -
Classifying daily and sports activities invariantly to the positioning of wearable motion sensor units
(IEEE, 2020)We propose techniques that achieve invariance to the positioning of wearable motion sensor units on the body for the recognition of daily and sports activities. Using two sequence sets based on the sensory data allows each ... -
Classifying human leg motions with uniaxial piezoelectric gyroscopes
(2009)This paper provides a comparative study on the different techniques of classifying human leg motions that are performed using two low-cost uniaxial piezoelectric gyroscopes worn on the leg. A number of feature sets, extracted ... -
Comparative study on classifying human activities with miniature inertial and magnetic sensors
(Elsevier, 2010)This paper provides a comparative study on the different techniques of classifying human activities that are performed using body-worn miniature inertial and magnetic sensors. The classification techniques implemented and ... -
Detection and evaluation of physical therapy exercises by dynamic time warping using wearable motion sensor units
(Springer, 2014)We develop an autonomous system that detects and evaluates physical therapy exercises using wearable motion sensors. We propose an algorithm that detects all the occurrences of one or more template signals (representing ... -
Fizik tedavi egzersizlerinin giyilebilir hareket algılayıcıları işaretlerinden dinamik zaman bükmesiyle sezimi ve değerlendirilmesi
(IEEE, 2014-04)Giyilebilir hareket algılayıcılarından kaydedilen sinyalleri işleyerek fizik tedavi egzersizlerini algılamak ve değerlendirmek için özerk bir sistem geliştirilmiştir. Bir fizik tedavi seansındaki bir ya da birden fazla ... -
Improvements in deterministic error modeling and calibration of inertial sensors and magnetometers
(Elsevier B.V., 2016)We consider the deterministic modeling, calibration, and model parameter estimation of two commonly employed inertial measurement units based on real test data acquired from a flight motion simulator. Each unit comprises ... -
Investigating inter-subject and inter-activity variations in activity recognition using wearable motion sensors
(Oxford University Press, 2016)This work investigates inter-subject and inter-activity variability of a given activity dataset and provides some new definitions to quantify such variability. The definitions are sufficiently general and can be applied ... -
Modeling and simulation of the ferroelectric based micro gyroscope: FEM analysis
(Taylor and Francis, 2013-09-23)This paper presents the design and modeling of micro-electromechanical systems (MEMS) on the ternary ferroelectric compounds (PZT) based by using finite element model (FEM) simulation. The conceptual framework establishes ... -
Novel noniterative orientation estimation for wearable motion sensor units acquiring accelerometer, gyroscope, and magnetometer measurements
(IEEE, 2020)We propose a novel noniterative orientation estimation method based on the physical and geometrical properties of the acceleration, angular rate, and magnetic field vectors to estimate the orientation of motion sensor ... -
Position invariance for wearables: interchangeability and single-unit usage via machine learning
(IEEE, 2021)We propose a new methodology to attain invariance to the positioning of body-worn motion-sensor units for recognizing everyday and sports activities. We first consider random interchangeability of the sensor units so ... -
Recognizing daily and sports activities in two open source machine learning environments using body-worn sensor units
(Oxford University Press, 2014-11)This study provides a comparative assessment on the different techniques of classifying human activities performed while wearing inertial and magnetic sensor units on the chest, arms and legs. The gyroscope, accelerometer ...
