Flooding through the lens of mobile phone activity

Natural disasters affect hundreds of millions of people worldwide every year. Emergency response efforts depend upon the availability of timely information, such as information concerning the movements of affected populations. The analysis of aggregated and anonymized Call Detail Records (CDR) captured from the mobile phone infrastructure provides new possibilities to characterize human behavior during critical events. In this work, we investigate the viability of using CDR data combined with other sources of information to characterize the floods that occurred in Tabasco, Mexico in 2009. An impact map has been reconstructed using Landsat-7 images to identify the floods. Within this frame, the underlying communication activity signals in the CDR data have been analyzed and compared against rainfall levels extracted from data of the NASA-TRMM project. The variations in the number of active phones connected to each cell tower reveal abnormal activity patterns in the most affected locations during and after the floods that could be used as signatures of the floods - both in terms of infrastructure impact assessment and population information awareness. The epresentativeness of the analysis has been assessed using census data and civil protection records. While a more extensive validation is required, these early results suggest high potential in using cell tower activity information to improve early warning and emergency management mechanisms.

Flooding through the lens of mobile phone activity

Natural disasters affect hundreds of millions of people worldwide every year. Emergency response efforts depend upon the availability of timely information, such as information concerning the movements of affected populations. The analysis of aggregated and anonymized Call Detail Records (CDR) captured from the mobile phone infrastructure provides new possibilities to characterize human behavior during critical events. In this work, we investigate the viability of using CDR data combined with other sources of information to characterize the floods that occurred in Tabasco, Mexico in 2009. An impact map has been reconstructed using Landsat-7 images to identify the floods. Within this frame, the underlying communication activity signals in the CDR data have been analyzed and compared against rainfall levels extracted from data of the NASA-TRMM project. The variations in the number of active phones connected to each cell tower reveal abnormal activity patterns in the most affected locations during and after the floods that could be used as signatures of the floods - both in terms of infrastructure impact assessment and population information awareness. The representativeness of the analysis has been assessed using census data and civil protection records. While a more extensive validation is required, these early results suggest high potential in using cell tower activity information to improve early warning and emergency management mechanisms.

Análisis de la estructura del juego y parámetros morfológicos y fisiológicos en bádminton

En este trabajo se ha realizado un análisis de la estructura del juego y de los parámetros morfológicos y fisiológicos en jugadores de bádminton. Para ello se han realizado 4 estudios aplicados. Objetivo: Los objetivos del trabajo han sido: (1) comprobar si existen diferencias entre el lado dominante y no dominante de las medidas antropométricas en jugadores de bádminton de máximo nivel nacional, así como verificar si el lado del cuerpo donde se realiza la medición puede influir en el cálculo de la composición corporal y del somatotipo. (2) Comparar la estuctura temporal y notacional en partidos de individual masculino entre los Juegos Olímpicos de Pekín y de Londres para observar como ha evolucionado el bádminton de 2008 a 2012. (3) Medir la ocurrencia de daño muscular después de un partido simulado de bádminton y su influencia en parámetros físicos y hematológicos. (4) Investigar la efectividad de una bebida energética que contiene cafeína para mejorar el rendimiento físico y el rendimiento en un partido en jugadores de élite de bádminton. Metodología: Para caracterizar el bádminton participaron en esta tesis un total de 78 jugadores de bádminton de élite (63 hombres y 15 mujeres), distribuidos en tres estudios y se analizaron 40 sets de bádminton de individual masculino usando los videos oficiales de los Juegos Olímpicos de Pekín 2008 y Londres 2012. En el primer estudio se tomaron medidas de pliegues cutáneos, diámetros, longitudes y perímetros del lado dominante y no dominante de los jugadores. Se calculó la composición corporal y el somatotipo. En el segundo estudio se analizaron los factores temporales y los factores notacionales de los partidos. En el tercer estudio se midieron la fuerza máxima isométrica, la velocidad en test específicos de bádminton y se tomaron muestras de sangre antes y después de jugar un partido de bádminton de 45 minutos. En el cuarto estudio se realizó un experimento a doble ciego, aleatorizado y controlado con placebo, los jugadores ingirieron 3 mg de cafeína por kilógramo de masa corporal en forma de bebida energética, o la misma bebida sin cafeína (placebo). En este estudio se registraron diferente tests específicos de bádminton (tests de salto, fuerza máxima y test de agilidad) y se jugó un partido simulado de 45 minutos. Resultados y discusión: (1) El porcentaje óseo fue mayor calculado a partir de las mediciones del lado dominante (dominante = 16.37 ± 1.14 %, no dominante = 15.66 ± 1.12 %; P < 0.001), mientras que el porcentaje muscular fue mayor calculado a partir de las mediciones del lado no dominante (dominante = 49.39 ± 2.60 %, no dominante = 50.18 ± 2.69%; P < 0.001). (2) La duración del set (Pekín: 1124.6 ± 229.9 s vs Londres: 1260.3 ± 267.1 s.; P < 0.05), el tiempo real de juego (Pekín: 306.9 ± 45.7 s vs Londres: 354.7 ± 86.5 s; P < 0.05), tiempo de rally, golpeos por rally, tiempo de descanso en el punto 11, tiempo de descanso entre sets y golpeos por rally fueron significativamente mayores en Londres que en Pekín. (3) El partido simulado de bádminton no afectó a la fuerza isométrica máxima (Pre: 1263.6 ± 245.5, Post: 1290.8 ± 240.4 N) o a la velocidad específica de bádminton (Pre: 21.0 ± 1.7, Post: 20.9 ± 1.8 s), sin embargo las concentraciones de mioglobina y de creatina quinasa en sangre aumentaron de 26.5 ± 11.6 a 197.3 ± 70.2 μg • L-1 y de 258.6 ± 192.2 a 466.0 ± 296.5 U • L-1, respectivamente después del partido de bádminton. (4) En comparación con la bebida placebo, la ingesta de la bebida energética con cafeína incrementó la altura del SJ (34.5±4.7 vs. 36.4±4.3 cm; P < 0.05) y del CMJ (37.7 ± 4.5 vs. 39.5 ± 5.1 cm; P < 0.05) y aumentó el número de aceleraciones totales durante el partido (7395 ± 1594 vs. 7707 ± 2033 aceleraciones; P < 0.05). Conclusiones: (1) Existen asimetrías corporales en los jugadores de bádminton de alto nivel, al encontrarse diferencias en los diámetros óseos y en los perímetros entre el lado dominante y no dominante. Al calcular la composición corporal con el lado dominante de los jugadores de bádminton se está sobreestimando el porcentaje óseo e infraestimando el porcentaje muscular. (2) El bádminton está evolucionando hacía rallies más largos con intervalos de descanso mayores, lo que resulta en partidos más largos. (3) El partido de bádminton generó daño muscular, sin embargo, el nivel de daño muscular alcanzado después de un partido de bádminton no produjo una disminución del rendimiento muscular. (4) El uso de una bebida energética con cafeína puede ser una ayuda nutricional eficaz para aumentar el rendimiento en el salto y patrones de actividad durante el juego en jugadores de élite de bádminton. ABSTRACT: This study analyzes the structure of the game and the morphological and physiological parameters in badminton players, investigated in four applied studies. Purpose: The purposes of the study were: (1) To check if there are differences between the dominant and non-dominant side in the anthropometric measures of badminton players at the highest national level and verify if the side of the body where the measurements are performed can influence the calculation of the body composition and the somatotype. (2) To compare the temporal and notational structure in men’s singles matches between the Olympic Games in Beijing and London to observe the evolution of badminton between 2008 and 2012. (3) To asses the occurrence of muscle damage after a simulated badminton match and its influence on physical and haematological parameters. (4) To determine the effectiveness of a commercially available energy drink that contains caffeine to improve match performance in elite badminton players. Methods: A total of 78 elite badminton players (63 men and 15 women) participated in this thesis to characterize the sport of badminton distributed in three studies and 40 sets of men’s singles badminton analyzed using the official videos of the Olympic Games of Beijing 2008 and London 2012. In the first study skinfolds, diameters, lengths and perimeters of the dominant and non-dominant side of the players were measured and body composition and somatotype were calculated. In the second study the temporal and notational factors were analyzed. In the third study maximal isometric force and speed in badminton specific tests were measured and blood samples were taken before and after a badminton match of 45 minutes. In the fourth study, a double-blind, randomized placebo-controlled experiment, players ingested 3 mg of caffeine per kilogram of body mass in the form of an energy drink or an identical drink with no caffeine content (placebo). In this study different badminton specific tests (jump tests, handgrip force test and an agility test) were recorded and a simulated badminton match of 45 minutes was played. Results and discussion: (1) The percentage of bone was higher when calculated from measurements of the dominant body side (dominant = 16.37 ± 1.14 %, nondominant = 15.66 ± 1.12 %; P < 0.001), while the muscle percentage was higher when calculated from measurements of the non-dominant side (dominant = 49.39 ± 2.60 %, non-dominant = 50.18 ± 2.69%; P < 0.001). (2) Set duration (Beijing: 1124.6 ± 229.9 s vs. London: 1260.3 ± 267.1 s.; P < 0.05), real time played (Beijing: 306.9 ± 45.7 s vs. London: 354.7 ± 86.5 s; P < 0.05), rally time, shots per rally, rest time at point 11, rest time between sets and shots per rally were significantly higher in London than in Beijing. (3) A simulated badminton match did not affect maximal isometric force (Pre: 1263.6 ± 245.5, Post: 1290.8 ± 240.4 N) or specific badminton speed (Pre: 21.0 ± 1.7, Post: 20.9 ± 1.8 s), however, concentrations of myoglobin and creatine kinase in blood increased from 26.5 ± 11.6 to 197.3 ± 70.2 μg • L-1 and from 258.6 ± 192.2 to 466.0 ± 296.5 U • L-1, respectively after the badminton match. (4) In comparison to the placebo drink, the caffeinated beverage increased height in the SJ (34.5±4.7 vs. 36.4±4.3 cm; P < 0.05) and in the CMJ (37.7 ± 4.5 vs. 39.5 ± 5.1 cm; P < 0.05) and increased the number of total accelerations during the match (7395 ± 1594 vs. 7707 ± 2033 accelerations; P < 0.05). Conclusions: (1) Body asymmetries were found in high level badminton players, due to the differences found in bone diameters and perimeters between the dominant and non-dominant body side. When calculating body composition with the dominant side of the badminton players we are overestimating bone percentage and underestimating muscle percentage. (2) Badminton is evolving towards longer rallies with greater rest intervals, resulting in longer matches. (3) The badminton match generated muscle damage, however, the level of muscle damage reached after a badminton match did not produce a decrease in muscle performance. (4) The ingestion of an energy drink containing caffeine might be an effective ergogenic nutritional supplement to increase jump performance and activity patterns during the game in elite badminton players.

Statistical Machine Learning for Automatic Assessment of Physical Activity Intensity Using Multi-axial Accelerometry and Heart Rate

This work explores the automatic recognition of physical activity intensity patterns from multi-axial accelerometry and heart rate signals. Data collection was carried out in free-living conditions and in three controlled gymnasium circuits, for a total amount of 179.80 h of data divided into: sedentary situations (65.5%), light-to-moderate activity (17.6%) and vigorous exercise (16.9%). The proposed machine learning algorithms comprise the following steps: time-domain feature definition, standardization and PCA projection, unsupervised clustering (by k-means and GMM) and a HMM to account for long-term temporal trends. Performance was evaluated by 30 runs of a 10-fold cross-validation. Both k-means and GMM-based approaches yielded high overall accuracy (86.97% and 85.03%, respectively) and, given the imbalance of the dataset, meritorious F-measures (up to 77.88%) for non-sedentary cases. Classification errors tended to be concentrated around transients, what constrains their practical impact. Hence, we consider our proposal to be suitable for 24 h-based monitoring of physical activity in ambulatory scenarios and a first step towards intensity-specific energy expenditure estimators

Association of breakfast consumption with objectively measured and self-reported physical activity, sedentary time and physical fitness in European adolescents: the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study

Objective: To examine the association of breakfast consumption with objectively measured and self-reported physical activity, sedentary time and physical fitness. Design: The HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Cross-Sectional Study. Breakfast consumption was assessed by two non-consecutive 24 h recalls and by a ‘Food Choices and Preferences’ questionnaire. Physical activity, sedentary time and physical fitness components (cardiorespiratory fitness, muscular fitness and speed/agility) were measured and self-reported. Socio-economic status was assessed by questionnaire. Setting: Ten European cities. Subjects: Adolescents (n 2148; aged 12?5–17?5 years). Results: Breakfast consumption was not associated with measured or self-reported physical activity. However, 24 h recall breakfast consumption was related to measured sedentary time in males and females; although results were not confirmed when using other methods to assess breakfast patterns or sedentary time. Breakfast consumption was not related to muscular fitness and speed/agility in males and females. However, male breakfast consumers had higher cardiorespiratory fitness compared with occasional breakfast consumers and breakfast skippers, while no differences were observed in females. Overall, results were consistent using different methods to assess breakfast consumption or cardiorespiratory fitness (all P#0?005). In addition, both male and female breakfast skippers (assessed by 24 h recall) were less likely to have high measured cardiorespiratory fitness compared with breakfast consumers (OR50?33; 95% CI 0?18, 0?59 and OR50?56; 95 %CI 0?32, 0?98,respectively). Results persisted across methods. Conclusions: Skipping breakfast does not seem to be related to physical activity,sedentary time or muscular fitness and speed/agility as physical fitness components in European adolescents; yet it is associated with both measured and self-reported cardiorespiratory fitness, which extends previous findings.

Efficiency of human activity on information spreading on Twitter

In this work we study Twitter data to understand influence dynamics in social networks. We define user efficiency on Twitter, as the ratio between the emergent spreading process and the activity employed by the user. We characterize this property by means of a quantitative analysis of the structural and dynamical patterns emergent from human interactions, and show it to be universal across several Twitter conversations.