Biomeccanica del servizio e del diritto nel tennis: confronto fra atleti di livello di gioco differente

Il tennis è uno sport molto diffuso che negli ultimi trent’anni ha subito molti cambiamenti. Con l’avvento di nuovi materiali più leggeri e maneggevoli la velocità della palla è aumentata notevolmente, rendendo così necessario una modifica a livello tecnico dei colpi fondamentali. Dalla ricerca bibliografica sono emerse interessanti indicazioni su angoli e posizioni corporee ideali da mantenere durante le varie fasi dei colpi, confrontando i giocatori di altissimo livello. Non vi sono invece indicazioni per i maestri di tennis su quali siano i parametri più importanti da allenare a seconda del livello di gioco del proprio atleta. Lo scopo di questa tesi è quello di individuare quali siano le variabili tecniche che influenzano i colpi del diritto e del servizio confrontando atleti di genere differente, giocatori di livello di gioco diverso (esperti, intermedi, principianti) e dopo un anno di attività programmata. Confrontando giocatori adulti di genere diverso, è emerso che le principali differenze sono legate alle variabili di prestazione (velocità della palla e della racchetta) per entrambi i colpi. Questi dati sono simili a quelli riscontrati nel test del lancio della palla, un gesto non influenzato dalla tecnica del colpo. Le differenze tecniche di genere sono poco rilevanti ed attribuibili alla diversa interpretazione dei soggetti. Nel confronto di atleti di vario livello di gioco le variabili di prestazione presentano evidenti differenze, che possono essere messe in relazione con alcune differenze tecniche rilevate nei gesti specifici. Nel servizio i principianti tendono a direzionare l’arto superiore dominante verso la zona bersaglio, abducendo maggiormente la spalla ed avendo il centro della racchetta più a destra rispetto al polso. Inoltre, effettuano un caricamento minore degli arti inferiori, del tronco e del gomito. Per quanto riguarda il diritto si possono evidenziare queste differenze: l’arto superiore è sempre maggiormente esteso per il gruppo dei principianti; il tronco, nei giocatori più abili viene utilizzato in maniera più marcata, durante la fase di caricamento, in movimenti di torsione e di inclinazione laterale. Gli altri due gruppi hanno maggior difficoltà nell’eseguire queste azioni preparatorie, in particolare gli atleti principianti. Dopo un anno di attività programmata sono stati evidenziati miglioramenti prestativi. Anche dal punto di vista tecnico sono state notate delle differenze che possono spiegare il miglioramento della performance nei colpi. Nel servizio l’arto superiore si estende maggiormente per colpire la palla più in alto possibile. Nel diritto sono da sottolineare soprattutto i miglioramenti dei movimenti del tronco in torsione ed in inclinazione laterale. Quindi l’atleta si avvicina progressivamente ad un’esecuzione tecnica corretta. In conclusione, dal punto di vista tecnico non sono state rilevate grosse differenze tra i due generi che possano spiegare le differenze di performance. Perciò questa è legata più ad un fattore di forza che dovrà essere allenata con un programma specifico. Nel confronto fra i vari livelli di gioco e gli effetti di un anno di pratica si possono individuare variabili tecniche che mostrano differenze significative tra i gruppi sperimentali. Gli evoluti utilizzano tutto il corpo per effettuare dei colpi più potenti, utilizzando in maniera tecnicamente più valida gli arti inferiori, il tronco e l’arto superiore. I principianti utilizzano prevalentemente l’arto superiore con contributi meno evidenti degli altri segmenti. Dopo un anno di attività i soggetti esaminati hanno dimostrato di saper utilizzare meglio il tronco e l’arto superiore e ciò può spiegare il miglioramento della performance. Si può ipotizzare che, per il corretto utilizzo degli arti inferiori, sia necessario un tempo più lungo di apprendimento oppure un allenamento più specifico.

Sistemi riconfigurabili a basso consumo per applicazioni di monitoraggio distribuito

The term Ambient Intelligence (AmI) refers to a vision on the future of the information society where smart, electronic environment are sensitive and responsive to the presence of people and their activities (Context awareness). In an ambient intelligence world, devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in an easy, natural way using information and intelligence that is hidden in the network connecting these devices. This promotes the creation of pervasive environments improving the quality of life of the occupants and enhancing the human experience. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. Ambient intelligent systems are heterogeneous and require an excellent cooperation between several hardware/software technologies and disciplines, including signal processing, networking and protocols, embedded systems, information management, and distributed algorithms. Since a large amount of fixed and mobile sensors embedded is deployed into the environment, the Wireless Sensor Networks is one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes which can be deployed in a target area to sense physical phenomena and communicate with other nodes and base stations. These simple devices typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). WNS promises of revolutionizing the interactions between the real physical worlds and human beings. Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. To fully exploit the potential of distributed sensing approaches, a set of challengesmust be addressed. Sensor nodes are inherently resource-constrained systems with very low power consumption and small size requirements which enables than to reduce the interference on the physical phenomena sensed and to allow easy and low-cost deployment. They have limited processing speed,storage capacity and communication bandwidth that must be efficiently used to increase the degree of local ”understanding” of the observed phenomena. A particular case of sensor nodes are video sensors. This topic holds strong interest for a wide range of contexts such as military, security, robotics and most recently consumer applications. Vision sensors are extremely effective for medium to long-range sensing because vision provides rich information to human operators. However, image sensors generate a huge amount of data, whichmust be heavily processed before it is transmitted due to the scarce bandwidth capability of radio interfaces. In particular, in video-surveillance, it has been shown that source-side compression is mandatory due to limited bandwidth and delay constraints. Moreover, there is an ample opportunity for performing higher-level processing functions, such as object recognition that has the potential to drastically reduce the required bandwidth (e.g. by transmitting compressed images only when something ‘interesting‘ is detected). The energy cost of image processing must however be carefully minimized. Imaging could play and plays an important role in sensing devices for ambient intelligence. Computer vision can for instance be used for recognising persons and objects and recognising behaviour such as illness and rioting. Having a wireless camera as a camera mote opens the way for distributed scene analysis. More eyes see more than one and a camera system that can observe a scene from multiple directions would be able to overcome occlusion problems and could describe objects in their true 3D appearance. In real-time, these approaches are a recently opened field of research. In this thesis we pay attention to the realities of hardware/software technologies and the design needed to realize systems for distributed monitoring, attempting to propose solutions on open issues and filling the gap between AmI scenarios and hardware reality. The physical implementation of an individual wireless node is constrained by three important metrics which are outlined below. Despite that the design of the sensor network and its sensor nodes is strictly application dependent, a number of constraints should almost always be considered. Among them: • Small form factor to reduce nodes intrusiveness. • Low power consumption to reduce battery size and to extend nodes lifetime. • Low cost for a widespread diffusion. These limitations typically result in the adoption of low power, low cost devices such as low powermicrocontrollers with few kilobytes of RAMand tenth of kilobytes of program memory with whomonly simple data processing algorithms can be implemented. However the overall computational power of the WNS can be very large since the network presents a high degree of parallelism that can be exploited through the adoption of ad-hoc techniques. Furthermore through the fusion of information from the dense mesh of sensors even complex phenomena can be monitored. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas:Low Power Video Sensor Node and Video Processing Alghoritm and Multimodal Surveillance . Low Power Video Sensor Nodes and Video Processing Alghoritms In comparison to scalar sensors, such as temperature, pressure, humidity, velocity, and acceleration sensors, vision sensors generate much higher bandwidth data due to the two-dimensional nature of their pixel array. We have tackled all the constraints listed above and have proposed solutions to overcome the current WSNlimits for Video sensor node. We have designed and developed wireless video sensor nodes focusing on the small size and the flexibility of reuse in different applications. The video nodes target a different design point: the portability (on-board power supply, wireless communication), a scanty power budget (500mW),while still providing a prominent level of intelligence, namely sophisticated classification algorithmand high level of reconfigurability. We developed two different video sensor node: The device architecture of the first one is based on a low-cost low-power FPGA+microcontroller system-on-chip. The second one is based on ARM9 processor. Both systems designed within the above mentioned power envelope could operate in a continuous fashion with Li-Polymer battery pack and solar panel. Novel low power low cost video sensor nodes which, in contrast to sensors that just watch the world, are capable of comprehending the perceived information in order to interpret it locally, are presented. Featuring such intelligence, these nodes would be able to cope with such tasks as recognition of unattended bags in airports, persons carrying potentially dangerous objects, etc.,which normally require a human operator. Vision algorithms for object detection, acquisition like human detection with Support Vector Machine (SVM) classification and abandoned/removed object detection are implemented, described and illustrated on real world data. Multimodal surveillance: In several setup the use of wired video cameras may not be possible. For this reason building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. Energy efficiency for wireless smart camera networks is one of the major efforts in distributed monitoring and surveillance community. For this reason, building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. The Pyroelectric Infra-Red (PIR) sensors have been used to extend the lifetime of a solar-powered video sensor node by providing an energy level dependent trigger to the video camera and the wireless module. Such approach has shown to be able to extend node lifetime and possibly result in continuous operation of the node.Being low-cost, passive (thus low-power) and presenting a limited form factor, PIR sensors are well suited for WSN applications. Moreover techniques to have aggressive power management policies are essential for achieving long-termoperating on standalone distributed cameras needed to improve the power consumption. We have used an adaptive controller like Model Predictive Control (MPC) to help the system to improve the performances outperforming naive power management policies.

Ricerche di campo per lo sviluppo della tecnologia del maschio sterile nella lotta ad Aedes albopictus (Skuse)

Aedes albopictus (Skuse), comunemente detta Zanzara Tigre, ha invaso, negli ultimi anni, molti paesi, soprattutto in modo passivo attraverso il commercio di pneumatici usati. Questa specie è particolarmente adatta all'applicazione della tecnica dell'insetto sterile (SIT), basata su allevamento massale, sterilizzazione e rilascio in campo di un gran numero di maschi della specie vettrice. I maschi sterili rilasciati devono essere in grado di volare, di disperdersi sul territorio, di sopravvivere, di essere sessualmente attivi abbastanza a lungo per coprire il tempo tra una fase di rilascio e la successiva, di individuare le femmine vergini selvatiche e competere con successo per l'accoppiamento con i maschi selvatici. La dispersione e la sopravvivenza dei maschi di Ae. albopictus allevati in laboratorio, sono state studiate mediante tecniche di marcatura, rilascio e ricattura. Le catture sono state eseguite da tecnici specializzati, in un raggio di 350 m dal sito di rilascio. Gli esperimenti condotti hanno dimostrato che i maschi sono in grado di disperdersi, dal sito di rilascio, per circa 200 m ma la loro longevità in campo è fortemente dipendente dalle condizioni climatiche. In studi di semi-campo e di campo è stato valutato uno speciale dispositivo progettato per essere incluso nella stazione di rilascio dei maschi in grado di fornire loro fonti energetiche per migliorarne le prestazioni. I risultati ottenuti sono stati positivi. Studi di competitività sono stati condotti in tunnel costruiti in un ambiente naturale al fine di validare un protocollo per studi sulla competitività dei maschi in questo modello sperimentale. Maschi irraggiati mediante l'applicazione di raggi gamma alla dose di 30 Gy sono stati messi in competizione con maschi fertili per l'accoppiamento con femmine vergini con diversi rapporti. I risultati ottenuti hanno dimostrato le buone prestazioni e l'affidabilità di questo modello sperimentale rimanendo però irrisolto il problema dell’elevata variabilità.

Controllo dell'atto di prensione: coinvolgimento dell'area V6A nell'orientamento del polso

Prehension in an act of coordinated reaching and grasping. The reaching component is concerned with bringing the hand to object to be grasped (transport phase); the grasping component refers to the shaping of the hand according to the object features (grasping phase) (Jeannerod, 1981). Reaching and grasping involve different muscles, proximal and distal muscles respectively, and are controlled by different parietofrontal circuit (Jeannerod et al., 1995): a medial circuit, involving area of superior parietal lobule and dorsal premotor area 6 (PMd) (dorsomedial visual stream), is mainly concerned with reaching; a lateral circuit, involving the inferior parietal lobule and ventral premotor area 6 (PMv) (dorsolateral visual stream), with grasping. Area V6A is located in the caudalmost part of the superior parietal lobule, so it belongs to the dorsomedial visual stream; it contains neurons sensitive to visual stimuli (Galletti et al. 1993, 1996, 1999) as well as cells sensitive to the direction of gaze (Galletti et al. 1995) and cells showing saccade-related activity (Nakamura et al. 1999; Kutz et al. 2003). Area V6A contains also arm-reaching neurons likely involved in the control of the direction of the arm during movements towards objects in the peripersonal space (Galletti et al. 1997; Fattori et al. 2001). The present results confirm this finding and demonstrate that during the reach-to-grasp the V6A neurons are also modulated by the orientation of the wrist. Experiments were approved by the Bioethical Committee of the University of Bologna and were performed in accordance with National laws on care and use of laboratory animals and with the European Communities Council Directive of 24th November 1986 (86/609/EEC), recently revised by the Council of Europe guidelines (Appendix A of Convention ETS 123). Experiments were performed in two awake Macaca fascicularis. Each monkey was trained to sit in a primate chair with the head restrained to perform reaching and grasping arm movements in complete darkness while gazing a small fixation point. The object to be grasped was a handle that could have different orientation. We recorded neural activity from 163 neurons of the anterior parietal sulcus; 116/163 (71%) neurons were modulated by the reach-to-grasp task during the execution of the forward movements toward the target (epoch MOV), 111/163 (68%) during the pulling of the handle (epoch HOLD) and 102/163 during the execution of backward movements (epoch M2) (t_test, p ≤ 0.05). About the 45% of the tested cells turned out to be sensitive to the orientation of the handle (one way ANOVA, p ≤ 0.05). To study how the distal components of the movement, such as the hand preshaping during the reaching of the handle, could influence the neuronal discharge, we compared the neuronal activity during the reaching movements towards the same spatial location in reach-to-point and reach-to-grasp tasks. Both tasks required proximal arm movements; only the reach-to-grasp task required distal movements to orient the wrist and to shape the hand to grasp the handle. The 56% of V6A cells showed significant differences in the neural discharge (one way ANOVA, p ≤ 0.05) between the reach-to-point and the reach-to-grasp tasks during MOV, 54% during HOLD and 52% during M2. These data show that reaching and grasping are processed by the same population of neurons, providing evidence that the coordination of reaching and grasping takes place much earlier than previously thought, i.e., in the parieto-occipital cortex. The data here reported are in agreement with results of lesions to the medial posterior parietal cortex in both monkeys and humans, and with recent imaging data in humans, all of them indicating a functional coupling in the control of reaching and grasping by the medial parietofrontal circuit.

Reaching to a target in the 3-D space

Reaching and grasping an object is an action that can be performed in light, under visual guidance, as well as in darkness, under proprioceptive control only. Area V6A is a visuomotor area involved in the control of reaching movements. V6A, besides neurons activated by the execution of reaching movements, shows passive somatosensory and visual responses. This suggests fro V6A a multimodal capability of integrating sensory and motor-related information, We wanted to know whether this integration occurrs in reaching movements and in the present study we tested whether the visual feedback influenced the reaching activity of V6A neurons. In order to better address this question, we wanted to interpret the neural data in the light of the kinematic of reaching performance. We used an experimental paradigm that could examine V6A responses in two different visual backgrounds, light and dark. In these conditions, the monkey performed an istructed-delay reaching task moving the hand towards different target positions located in the peripersonal space. During the execution of reaching task, the visual feedback is processed in a variety of patterns of modulation, sometimes not expected. In fact, having already demonstrated in V6A reach-related discharges in absence of visual feedback, we expected two types of neural modulation: 1) the addition of light in the environment enhanced reach-related discharges recorded in the dark; 2) the light left the neural response unmodified. Unexpectedly, the results show a complex pattern of modulation that argues against a simple additive interaction between visual and motor-related signals.

Target Tracking in UWB Multistatic Radars

Detection, localization and tracking of non-collaborative objects moving inside an area is of great interest to many surveillance applications. An ultra- wideband (UWB) multistatic radar is considered as a good infrastructure for such anti-intruder systems, due to the high range resolution provided by the UWB impulse-radio and the spatial diversity achieved with a multistatic configuration. Detection of targets, which are typically human beings, is a challenging task due to reflections from unwanted objects in the area, shadowing, antenna cross-talks, low transmit power, and the blind zones arised from intrinsic peculiarities of UWB multistatic radars. Hence, we propose more effective detection, localization, as well as clutter removal techniques for these systems. However, the majority of the thesis effort is devoted to the tracking phase, which is an essential part for improving the localization accuracy, predicting the target position and filling out the missed detections. Since UWB radars are not linear Gaussian systems, the widely used tracking filters, such as the Kalman filter, are not expected to provide a satisfactory performance. Thus, we propose the Bayesian filter as an appropriate candidate for UWB radars. In particular, we develop tracking algorithms based on particle filtering, which is the most common approximation of Bayesian filtering, for both single and multiple target scenarios. Also, we propose some effective detection and tracking algorithms based on image processing tools. We evaluate the performance of our proposed approaches by numerical simulations. Moreover, we provide experimental results by channel measurements for tracking a person walking in an indoor area, with the presence of a significant clutter. We discuss the existing practical issues and address them by proposing more robust algorithms.