Browsing by Keywords "Accelerometers"
Now showing items 1-10 of 10
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Activity recognition invariant to sensor orientation with wearable motion sensors
(MDPI AG, 2017)Most activity recognition studies that employ wearable sensors assume that the sensors are attached at pre-determined positions and orientations that do not change over time. Since this is not the case in practice, it is ... -
Breathing detection based on the topological features of IR sensor and accelerometer signals
(IEEE, 2017)This paper describes a non-contact breathing detection system using a pyro-electric infrared (PIR) sensor and an accelerometer. The multi-sensor system can be used to detect the respiratory disorders. A PIR sensor is placed ... -
Düşme tespiti için sınıflandırma yöntemlerinin karşılaştırılması
(IEEE, 2014-04)Bu bildiride giyilebilir yapıda olan ve üç boyutlu ölçüm alabilen bir ivmeölçerin çıktılarını kullanarak düşme tespiti yapan farklı algoritmaların karşılaştırılması yapılmıştır. Karşılaştırma amacıyla destek vektör makineleri, ... -
Evaluation of solid-state gyroscope for robotics applications
(Institute of Electrical and Electronics Engineers, 1995-02)he evaluation of a low-cost solid-state gyroscope for robotics applications is described. An error model for the sensor is generated and included in a Kalman filter for estimating the orientation of a moving robot vehicle. ... -
Improved deterministic measurement model for consumer-grade accelerometers
(Institution of Engineering and Technology, 2016)Deterministic error modelling, calibration and model parameter estimation of consumer-grade accelerometers is considered and improvement to the traditionally used measurement model is proposed. Calibration experiments on ... -
Inertial navigation systems for mobile robots
(Institute of Electrical and Electronics Engineers, 1995-06)A low-cost solid-state inertial navigation system (INS) for mobile robotics applications is described. Error models for the inertial sensors are generated and included in an Extended Kalman Filter (EKF) for estimating the ... -
Investigation of sensor placement for accurate fall detection
(Springer, 2017)Fall detection is typically based on temporal and spectral analysis of multi-dimensional signals acquired from wearable sensors such as tri-axial accelerometers and gyroscopes which are attached at several parts of the ... -
Leg motion classification with artificial neural networks using wavelet-based features of gyroscope signals
(2011)We extract the informative features of gyroscope signals using the discrete wavelet transform (DWT) decomposition and provide them as input to multi-layer feed-forward artificial neural networks (ANNs) for leg motion ... -
Minyatür eylemsizlik duyucuları ve manyetometre sinyallerinin işlenmesiyle insan aktivitelerinin sınıflandırılması
(IEEE, 2011-04)Bu çalışmada insan vücuduna yerleştirilen minyatür eylemsizlik duyucuları ve manyetometreler kullanılarak çeşitli aktiviteler örüntü tanıma yöntemleriyle ayırdedilmiş ve karşılaştırmalı bir çalışmanın sonuçları sunulmuştur. ... -
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 ...
