Search results for "Human activity"
showing 10 items of 19 documents
SHARP: Environment and Person Independent Activity Recognition with Commodity IEEE 802.11 Access Points
2022
In this article we present SHARP, an original approach for obtaining human activity recognition (HAR) through the use of commercial IEEE 802.11 (Wi-Fi) devices. SHARP grants the possibility to discern the activities of different persons, across different time-spans and environments. To achieve this, we devise a new technique to clean and process the channel frequency response (CFR) phase of the Wi-Fi channel, obtaining an estimate of the Doppler shift at a radio monitor device. The Doppler shift reveals the presence of moving scatterers in the environment, while not being affected by (environment-specific) static objects. SHARP is trained on data collected as a person performs seven differe…
Learning and using English and Swedish beyond the classroom : activity systems of six upper secondary school students
2012
Tämän tutkimuksen tarkoituksena oli katsoa englannin ja ruotsin oppimista koulun ulkopuolella toiminnan teorian ja erityisesti Engeströmin (1987, 1999) toimintajärjestelmämallin näkökulmasta, josta aihetta ei ole aiemmin lähestytty. Tutkimus vastaa seuraaviin kysymyksiin: 1) Ovatko abiturientit enemmän kielenkäyttäjiä vai -oppijoita englannissa ja ruotsissa koulun ulkopuolella? 2) Millaisia eroja ja yhtäläisyyksiä heidän toiminnassaan on englannissa ja ruotsissa? 3) Mitkä tekijät selittävät aktiivisuutta ja passiivisuutta? Tutkimus on toteutettu tapaustutkimuksena. Tutkimusaineistona on kuusi puolistrukturoitua haastattelua. Haastateltavat ovat 18-vuotiaita lukion kolmannen vuosikurssin opi…
Towards a Smart Campus Through Participatory Sensing
2018
In recent years, the percentage of the population owning a smartphone has increased significantly. These devices provide users with more and more functions that make them real sensing platforms. Exploiting the capabilities offered by smartphones, users can collect data from the surrounding environment and share them with other entities in the network thanks to existing communication infrastructures, i.e., 3G/4G/5G or WiFi. In this work, we present a system based on participatory sensing paradigm using smartphones to collect and share local data in order to monitor make a campus 'smart'. In particular, our system infers the activities performed by users (e.g., students) in a campus in order …
A Trajectory-Driven 3D Channel Model for Human Activity Recognition
2021
This paper concerns the design, analysis, and simulation of a 3D non-stationary channel model fed with inertial measurement unit (IMU) data. The work in this paper provides a framework for simulating the micro-Doppler signatures of indoor channels for human activity recognition by using radiofrequency-based sensing technologies. The major human body segments, such as wrists, ankles, torso, and head, are modelled as a cluster of moving point scatterers. We provide expressions for the time variant (TV) speed and TV angles of motion based on 3D trajectories of the moving person. Moreover, we present mathematical expressions for the TV Doppler shifts and TV path gains associated with each movin…
Human Activity Recognition Process Using 3-D Posture Data
2015
In this paper, we present a method for recognizing human activities using information sensed by an RGB-D camera, namely the Microsoft Kinect. Our approach is based on the estimation of some relevant joints of the human body by means of the Kinect; three different machine learning techniques, i.e., K-means clustering, support vector machines, and hidden Markov models, are combined to detect the postures involved while performing an activity, to classify them, and to model each activity as a spatiotemporal evolution of known postures. Experiments were performed on Kinect Activity Recognition Dataset, a new dataset, and on CAD-60, a public dataset. Experimental results show that our solution o…
Vegetation and firewood uses in the western Catalan plain from Neolithic to the Middle Age
2011
In this study is presented the synthesis of the results of the anthracological analysis in the western Catalan plain from the Neolithic to the Middle Ages. The data is evaluated in order to provide a preliminary approximation on the development of vegetation and forest exploitation. S. Vila is funded by a FI-DGR 2010 scholarship,granted by the Generalitat de Catalunya (AGAUR), in the framework of the projects HAR2008-05256, and SGR2009-198.
Identification, ecology and use blood meals from hematophagous Diptera (Glossinidae, Stomoxys and Tabanidae) for noninvasive sampling of wildlife in …
2015
The contact between human and wild fauna has considerably increased during these last decades due to the increase of human population size but also to conservation policies. As a consequence, the number of zoonotic diseases soared with a mean of six new infectious diseases per year, 75% of whom being vectorially transmitted. The way to avoid the human contamination by these emergent diseases is based on the efficient vector control resulting from a deep knowledge of the ecology and the feeding behavior of the different vector species. During our work, we have identified and characterized the ecology of 6 tsetse species (Glossina palpalis palpalis, G. fuscipes fuscipes, G. fusca congolense, …
Estimation of the Time-Variant Velocity of a Single Walking Person in Two-Dimensional Non-Stationary Indoor Environments Using Radio-Frequency Techni…
2020
Accurate estimation of the time-variant (TV) velocity of moving persons/objects in indoor spaces is of crucial importance for numerous wireless indoor applications. This article introduces a novel iterative procedure to estimate the TV velocity, i.e., TV speed and TV angle-of-motion (AOM), of a single moving person in 2D indoor environments by using radio-frequency (RF) techniques. The indoor area is equipped with a distributed 2 × 2 multiple-input multiple-output (MIMO) system. The proposed method is divided into two parts. In the first part, we estimate the path gains and the instantaneous Doppler frequencies by fitting the exact spectrograms of the complex channel gains of a 2D no…
A Fog-Based Application for Human Activity Recognition Using Personal Smart Devices
2019
The diffusion of heterogeneous smart devices capable of capturing and analysing data about users, and/or the environment, has encouraged the growth of novel sensing methodologies. One of the most attractive scenarios in which such devices, such as smartphones, tablet computers, or activity trackers, can be exploited to infer relevant information is human activity recognition (HAR). Even though some simple HAR techniques can be directly implemented on mobile devices, in some cases, such as when complex activities need to be analysed timely, users’ smart devices can operate as part of a more complex architecture. In this article, we propose a multi-device HAR framework that exploits the fog c…
EFFICIENT AND SECURE ALGORITHMS FOR MOBILE CROWDSENSING THROUGH PERSONAL SMART DEVICES.
2021
The success of the modern pervasive sensing strategies, such as the Social Sensing, strongly depends on the diffusion of smart mobile devices. Smartwatches, smart- phones, and tablets are devices capable of capturing and analyzing data about the user’s context, and can be exploited to infer high-level knowledge about the user himself, and/or the surrounding environment. In this sense, one of the most relevant applications of the Social Sensing paradigm concerns distributed Human Activity Recognition (HAR) in scenarios ranging from health care to urban mobility management, ambient intelligence, and assisted living. Even though some simple HAR techniques can be directly implemented on mo- bil…