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ESPRIT, or the Elite Sport Performance Research in Training [1] [2] [3] [4] [5] [6] [7] [8] [9] is a UK EPSRC and UK Sport funded research project aiming to develop pervasive sensing technologies for better the understanding of the physiology and biomechanics of athletes in training, and apply the technologies to enhance the well being and healthcare of general public.
A number of sports exemplars have been selected in the ESPRIT Programme to demonstrate and validate the application of pervasive sensing technology in elite sport performance monitoring
| Sports | Short Description |
|---|---|
| Rowing | The physiology and biomechanics of rowers and rowing techniques have been widely studied, but most of the studies were conducted in laboratory settings, as measuring equipment is often laborary based and can not be used on the boat. To enable real-time monitoring of athletes' physiology and capturing biomechanical indices, a number of pervasive sensing devices have been developed under the ESPRIT programme. |
| Swimming [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] | To understand the biomechanics of a swim is often difficult, as tradition measuring tools cannot be used under water. In most cases, the biomechanic indices can only be captured by swimmers simulating the swimming movements in dry land. Under the ESPRIT programme, a number of wireless sensing technologies have been developed aiming to provide a real-time unobtrusive monitoring system for elite swimmers. |
| Cycling [27] | To facilitate the training of cyclist, a cycling ergometer is developed in the ESPRIT programme. Despite integrated with sensors to capture the force profile of the cyclist, the new ergometer can emulate different cycling conditions. |
| Rugby [28] [29] [30] [31] [32] [33] [34] | |
| Sprinting [35] | |
| Wheelchair basketball/rugby [36] | |
| Basketball [37] | |
| Weightlifting [38] [39] [40] [41] |
One of the main objectives of the ESPRIT project is to extend the developed sensing technology for wellbeing and healthcare applications. To demonstrate the application of the technology, a number of healthcare exemplars have been selected.
| Imperial College London | Loughborough University |
| Queen Mary, University of London | UK Sport |
| British Olympic Association | Paralympics GB |
| Lawn Tennis Association | England Rugby |
| England Cricket | England Football |
| Adidas | Association of British Healthcare Industries |
| BAE Systems | British Telecom |
| DSTL - Defence Science and Technology Laboratory | Help the Aged |
| IMEC Holst Centre | LGC - Laboratory of the Government Chemist |
| Live-Work | NPL - National Physical Laboratory |
Blood glucose monitoring is the use of a glucose meter for testing the concentration of glucose in the blood (glycemia). Particularly important in diabetes management, a blood glucose test is typically performed by piercing the skin to draw blood, then applying the blood to a chemically active disposable 'test-strip'. The other main option is continuous glucose monitoring (CGM). Different manufacturers use different technology, but most systems measure an electrical characteristic and use this to determine the glucose level in the blood. Skin-prick methods measure capillary blood glucose, whereas CGM correlates interstitial fluid glucose level to blood glucose level. Measurements may occur after fasting or at random nonfasting intervals, each of which informs diagnosis or monitoring in different ways.
Wireless sensor networks (WSNs) refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the environment and forward the collected data to a central location. WSNs can measure environmental conditions such as temperature, sound, pollution levels, humidity and wind.
Prognostics is an engineering discipline focused on predicting the time at which a system or a component will no longer perform its intended function. This lack of performance is most often a failure beyond which the system can no longer be used to meet desired performance. The predicted time then becomes the remaining useful life (RUL), which is an important concept in decision making for contingency mitigation. Prognostics predicts the future performance of a component by assessing the extent of deviation or degradation of a system from its expected normal operating conditions. The science of prognostics is based on the analysis of failure modes, detection of early signs of wear and aging, and fault conditions. An effective prognostics solution is implemented when there is sound knowledge of the failure mechanisms that are likely to cause the degradations leading to eventual failures in the system. It is therefore necessary to have initial information on the possible failures in a product. Such knowledge is important to identify the system parameters that are to be monitored. Potential uses for prognostics is in condition-based maintenance. The discipline that links studies of failure mechanisms to system lifecycle management is often referred to as prognostics and health management (PHM), sometimes also system health management (SHM) or—in transportation applications—vehicle health management (VHM) or engine health management (EHM). Technical approaches to building models in prognostics can be categorized broadly into data-driven approaches, model-based approaches, and hybrid approaches.
Weigh-in-motion or weighing-in-motion (WIM) devices are designed to capture and record the axle weights and gross vehicle weights as vehicles drive over a measurement site. Unlike static scales, WIM systems are capable of measuring vehicles traveling at a reduced or normal traffic speed and do not require the vehicle to come to a stop. This makes the weighing process more efficient, and, in the case of commercial vehicles, allows for trucks under the weight limit to bypass static scales or inspection.
A system monitor is a hardware or software component used to monitor system resources and performance in a computer system.
Internet of things (IoT) describes devices with sensors, processing ability, software and other technologies that connect and exchange data with other devices and systems over the Internet or other communication networks. The Internet of things encompasses electronics, communication, and computer science engineering. "Internet of things" has been considered a misnomer because devices do not need to be connected to the public internet; they only need to be connected to a network and be individually addressable.
An indoor positioning system (IPS) is a network of devices used to locate people or objects where GPS and other satellite technologies lack precision or fail entirely, such as inside multistory buildings, airports, alleys, parking garages, and underground locations.
Pedobarography is the study of pressure fields acting between the plantar surface of the foot and a supporting surface. Used most often for biomechanical analysis of gait and posture, pedobarography is employed in a wide range of applications including sports biomechanics and gait biometrics. The term 'pedobarography' is derived from the Latin: pedes, referring to the foot, and the Greek: baros meaning 'weight' and also 'pressure'.
The Paralympic World Cup is an annual international multi-sport event for elite athletes with a disability, that has been hosted in Manchester, England, since 2005. It is organized by the British Paralympic Association (BPA) in coordination with the International Paralympic Committee (IPC).
Veillonella are Gram-negative bacteria anaerobic cocci, unlike most Bacillota, which are Gram-positive bacteria. This bacterium is well known for its lactate fermenting abilities. It is a normal bacterium in the intestines and oral mucosa of mammals. In humans they have been implicated in cases of osteomyelitis and endocarditis, for example with the species Veillonella parvula.
Wearable technology is any technology that is designed to be used while worn. Common types of wearable technology include smartwatches and smartglasses. Wearable electronic devices are often close to or on the surface of the skin, where they detect, analyze, and transmit information such as vital signs, and/or ambient data and which allow in some cases immediate biofeedback to the wearer.
A body area network (BAN), also referred to as a wireless body area network (WBAN), a body sensor network (BSN) or a medical body area network (MBAN), is a wireless network of wearable computing devices. BAN devices may be embedded inside the body as implants or pills, may be surface-mounted on the body in a fixed position, or may be accompanied devices which humans can carry in different positions, such as in clothes pockets, by hand, or in various bags. Devices are becoming smaller, especially in body area networks. These networks include multiple small body sensor units (BSUs) and a single central unit (BCU). Despite this trend, decimeter sized smart devices still play an important role. They act as data hubs or gateways and provide a user interface for viewing and managing BAN applications on the spot. The development of WBAN technology started around 1995 around the idea of using wireless personal area network (WPAN) technologies to implement communications on, near, and around the human body. About six years later, the term "BAN" came to refer to systems where communication is entirely within, on, and in the immediate proximity of a human body. A WBAN system can use WPAN wireless technologies as gateways to reach longer ranges. Through gateway devices, it is possible to connect the wearable devices on the human body to the internet. This way, medical professionals can access patient data online using the internet independent of the patient location.
A shock data logger or vibration data logger is a measurement instrument that is capable of autonomously recording shocks or vibrations over a defined period of time. Digital data is usually in the form of acceleration and time. The shock and vibration data can be retrieved, viewed and evaluated after it has been recorded.
A Wireless powerline sensor hangs from an overhead power line and sends measurements to a data collection system. Because the sensor does not contact anything but a single live conductor, no high-voltage isolation is needed. The sensor, installed simply by clamping it around a conductor, powers itself from energy scavenged from electrical or magnetic fields surrounding the conductor being measured. Overhead power line monitoring helps distribution system operators provide reliable service at optimized cost.
A digital twin is a digital model of an intended or actual real-world physical product, system, or process that serves as the effectively indistinguishable digital counterpart of it for practical purposes, such as simulation, integration, testing, monitoring, and maintenance.
Yunhao Liu is a Chinese computer scientist. He is the Dean of Global Innovation Exchange (GIX) at Tsinghua University.
Subsea Internet of Things (SIoT) is a network of smart, wireless sensors and smart devices configured to provide actionable operational intelligence such as performance, condition and diagnostic information. It is coined from the term The Internet of Things (IoT). Unlike IoT, SIoT focuses on subsea communication through the water and the water-air boundary. SIoT systems are based around smart, wireless devices incorporating Seatooth radio and Seatooth Hybrid technologies. SIoT systems incorporate standard sensors including temperature, pressure, flow, vibration, corrosion and video. Processed information is shared among nearby wireless sensor nodes. SIoT systems are used for environmental monitoring, oil & gas production control and optimisation and subsea asset integrity management. Some features of IoT's share similar characteristics to cloud computing. There is also a recent increase of interest looking at the integration of IoT and cloud computing. Subsea cloud computing is an architecture design to provide an efficient means of SIoT systems to manage large data sets. It is an adaption of cloud computing frameworks to meet the needs of the underwater environment. Similarly to fog computing or edge computing, critical focus remains at the edge. Algorithms are used to interrogate the data set for information which is used to optimise production.
The Internet of Military Things (IoMT) is a class of Internet of things for combat operations and warfare. It is a complex network of interconnected entities, or "things", in the military domain that continually communicate with each other to coordinate, learn, and interact with the physical environment to accomplish a broad range of activities in a more efficient and informed manner. The concept of IoMT is largely driven by the idea that future military battles will be dominated by machine intelligence and cyber warfare and will likely take place in urban environments. By creating a miniature ecosystem of smart technology capable of distilling sensory information and autonomously governing multiple tasks at once, the IoMT is conceptually designed to offload much of the physical and mental burden that warfighters encounter in a combat setting.
Velocity based training (VBT) is a modern approach to strength training and power training which utilises velocity tracking technology to provide rich objective data as a means to motivate and support real-time adjustments in an athlete's training plan. Typical strength and power programming and periodisation plans rely on the manipulation of reps, sets and loads as a means to calibrate training stressors in the pursuit of specific adaptations. Since the late 1990s, innovations in bar speed monitoring technology has brought velocity based training closer to the mainstream as the range of hardware and software solutions for measuring exercise velocities have become easier to use and more affordable. Velocity based training has a wide range of use cases and applications in strength and conditioning. These include barbell sports such as powerlifting and Olympic weightlifting and Crossfit, as well as rock climbing.Velocity based training is widely adopted across professional sporting clubs, with the data supporting many periodisation decisions for coaches in the weight room and on the field.
Yang Hao is a British electrical engineer, academic, and author most known for his research in wireless connectivity and metamaterials. He is the holder of the QinetiQ/Royal Academy of Engineering (RAE) Research Chair, and serves as the Director of both the EPSRC Research Centre on Future Wireless Connectivity and the EPSRC Centre for Transformation Optics and Metamaterials. He is also a Professor of Antennas and Electromagnetics, and Deputy Vice Principal for Strategic Research at Queen Mary University of London (QMUL). He is a Co-Founder and Director of AOTOMAT, and co-founded a satellite communication company called Isotropic Systems.