Browsing by Subject "Human activity recognition"
Now showing items 1-10 of 10
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A new relational geometric feature for human action recognition
(Springer, 2015-01)
Article
Restricted access - publisher's policyPose-based features have demonstrated to outperform low-levelappearance features in human action recognition. New RGB-D cameras provide locations of human joints with which geometric correspondences can be easily calculated. ... -
BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition
(2012)
Conference report
Restricted access - publisher's policyWe present a Bag-of-Visual-and-Depth-Words (BoVDW) model for gesture recognition, an extension of the Bag-of-Visual-Words (BoVW) model, that benefits from the multimodal fusion of visual and depth features. State-of-the-art ... -
Detección de transiciones posturales basado en un acelerómetro y un sensor de presión mediante algoritmos de aprendizaje automático
(Universitat Politècnica de Catalunya, 2019-01-31)
Master thesis
Restricted access - author's decision[CASTELLÀ] Los sensores inerciales basados en Sistemas Micro Electro Mecánicos, gracias a su reducido tamaño y bajo consumo de energía, han permitido el desarrollo de sistemas portables orientados al reconocimiento de ... -
Disseny d'un algorisme per l'avaluació de l'activitat física i l'intensitat de l'exercici basat en l'Smartphone
(Universitat Politècnica de Catalunya, 2014-07-23)
Bachelor thesis
Open Access[ANGLÈS] The designed algorithm allows non-intrusive physical activity recognition using accelerometer data from the smartphone. Fourteen subjects of the same age (mean = 22 years) have used the Android application RSAF ... -
Energy efficient smartphone-based activity recognition using fixed-point arithmetic
(2013)
Article
Open AccessIn this paper we propose a novel energy efficient approach for the recognition of human activities using smartphones as wearable sensing devices, targeting assisted living applications such as remote patient activity ... -
Human action recognition by means of subtensor projections and dense trajectories
(2018-09)
Article
Restricted access - publisher's policyIn last years, most human action recognition works have used dense trajectories features, to achieve state-of-the-art results. Histograms of Oriented Gradients (HOG), Histogram of Optical Flow (HOF) and Motion Boundary ... -
Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine
(Springer, 2012)
Conference report
Open AccessActivity-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. When these sensors are attached to the ... -
Robust multi-dimensional motion features for first-person vision activity recognition
(2016-08)
Article
Open AccessWe propose robust multi-dimensional motion features for human activity recognition from first-person videos. The proposed features encode information about motion magnitude, direction and variation, and combine them with ... -
Training computationally efficient smartphone–based human activity recognition models
(2013)
Conference report
Restricted access - publisher's policyThe exploitation of smartphones for Human Activity Recognition (HAR) has been an active research area in which the development of fast and efficient Machine Learning approaches is crucial for preserving battery life and ... -
Using conventional cell phones to recognize basic physical movements
(Universitat Politècnica de Catalunya, 2012-07-24)
Master thesis
Open Access[ANGLÈS] Human activity recognition system via wearable sensors can provide valuable information about person's life-style and can help to monitor human activities in order to improve person's interaction with environment. ...
