Browsing by Author "Català Mallofré, Andreu"
Now showing items 1-20 of 75
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A kinematic sensor and algorithm to detect motor fluctuations in Parkinson disease: Validation study under real conditions of use
(JMIR, 2018-04-01)
Article
Open Access -
A qualitative reasoning approach for measuring citizens’ satisfaction
(2004-10)
Article
Open Access -
A trajectory-driven 3D channel model for human activity recognition
(Institute of Electrical and Electronics Engineers (IEEE), 2021-07-28)
Article
Open AccessThis 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 ... -
A waist-worn inertial measurement unit for Parkinson’s disease long-term monitoring
(2017-04-11)
Article
Open AccessInertial measurement units (IMUs) are devices used, among other fields, in health applications, since they are light, small and effective. More concretely, IMUs have demonstrated to accurately monitor motor symptoms of ... -
A wearable inertial measurement unit for long-term monitoring in the dependency care area
(2013-10-18)
Article
Open AccessHuman movement analysis is a field of wide interest since it enables the assessment of a large variety of variables related to quality of life. Human movement can be accurately evaluated through Inertial Measurement Units ... -
Algoritmos de monitorización de síntomas de la enfermedad de Parkinson
(2015-03-31)
Review
Restricted access - confidentiality agreement -
Algoritmos de monitorización de síntomas de la enfermedad de Parkinson [update]
(2016-12-23)
Review
Restricted access - confidentiality agreement -
Ambulatory mobility characterization using body inertial system: an applicatio to fall detection
(2009)
Article
Open AccessThe aim of this paper is to study the use of a prototype of wearable device for long term monitoring of gait and balance using inertial sensors. First, it is focused on the design of the device that can be used all day ... -
Ambulatory mobility characterization using body inertial system: an application to fall detection
(Springer Verlag, 2009)
Conference report
Open AccessThe aim of this paper is to study the use of a prototype of wearable device for long term monitoring of gait and balance using inertial sensors. First, it is focused on the design of the device that can be used all day ... -
An OSA-CBM Multi-Agent Vehicle Health Management Architecture for Self-Health Awareness
(2007-06)
Article
Open AccessIntegrated Vehicle Health Management (IVHM) systems on modern aircraft or autonomous unmanned vehicles should provide diagnostic and prognostic capabilities with lower support costs and amount of data traffic. When mission ... -
Analyzing human gait and posture by combining feature selection and kernel methods
(2011-09)
Article
Open AccessThis paper evaluates a set of computational algorithms for the automatic estimation of human postures and gait properties from signals provided by an inertial body sensor. The use of a single sensor device imposes ... -
Assessing motor fluctuations in Parkinson’s disease patients based on a single inertial sensor
(2016-12-15)
Article
Open AccessAltered movement control is typically the first noticeable symptom manifested by Parkinson’s disease (PD) patients. Once under treatment, the effect of the medication is very patent and patients often recover correct ... -
Basketball activity recognition using wearable inertial measurement units
(Association for Computing Machinery (ACM), 2015)
Conference report
Open AccessThe analysis and evaluation of human movement is a growing research area within the field of sports monitoring. This analysis can help support the enhancement of an athlete's performance, the prediction of injuries or the ... -
Beyond cognition and affect: sensing the unconscious
(Taylor & Francis, 2015-03-04)
Article
Restricted access - publisher's policyIn the past decade, research on human-computer interaction has embraced psychophysiological user interfaces that enhance awareness of computers about conscious cognitive and affective states of users and increase their ... -
Building bridges for innovation in ageing: Synergies between action groups of the EIP on AHA
(2017-01-01)
Article
Open AccessThe Strategic Implementation Plan of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) proposed six Action Groups. After almost three years of activity, many achievements have been obtained ... -
Can children take advantage of Nao gaze-based hints during gameplay?
(Association for Computing Machinery (ACM), 2017)
Conference lecture
Open AccessThis paper presents a study that analyzes the effects of robots’ gaze hints on children's performance in a card-matching game. We conducted a within-subjects study, in which children played a card game “Memory” in the ... -
Comparative and adaptation of step detection and step length estimators to a lateral belt worn accelerometer
(2013)
Conference lecture
Restricted access - publisher's policyParkinson’s Disease (PD) is a neurodegenerative disease that predominantly alter patients’ motor performance and compromises the speed, the automaticity and fluidity of natural movements. The patients fluctuate between ... -
Comparison and adaptation of step length and gait speed estimators from single belt worn accelerometer positioned on lateral side of the body
(2013)
Conference lecture
Restricted access - publisher's policyParkinson’s Disease (PD) is a neurodegenerative disease that predominantly alter patients’ motor performance and compromises the speed, the automaticity and fluidity of natural movements. The patients fluctuate between ... -
Curs d'instal·lació d'Internet per satèl·lit amb telefonia VolP i WIFI
(2007)
Poster (CCD project)
Open Access -
Deep learning for detecting freezing of gait episodes in Parkinson’s disease based on accelerometers
(2017)
Conference report
Open AccessFreezing of gait (FOG) is one of the most incapacitating symptoms among the motor alterations of Parkinson’s disease (PD). Manifesting FOG episodes reduce patients’ quality of life and their autonomy to perform daily living ...
