OBJECTIVE The purpose of this review is to examine the evidence for determining the lowest threshold for diagnosing a sport-related concussion. DATA SOURCES MEDLINE, CINAHL, EMBASE, Mosby's Index, PsycEXTRA, PsycINFO and Scopus. Key words included sports concussion, concussion assessment, diagnosis, concussion symptoms, onfield assessment and sports-related traumatic brain injury. RESULTS T...

Recent advances in Computer Vision and Machine Learning empowered the use of image positional data several high-level analyses Sports Science, such as player action classification, recognition complex human movements, tactical analysis team sports. In context sports analysis, allows new developments opportunities by taking into account players’ positions over time. Exploiting its sequence a sys...

context groin injuries are among the most common injuries co-existing with sports. the aim of this review was to outline the epidemiology and identify risk factors, as well as examine preventative and interventional measures for reducing the occurrence of this form of injury among athletes. evidence acquisition an electronic, systematic search for relevant keywords, either separately or in comb...

With the rapid development of science and technology in today’s society, various industries are pursuing information digitization intelligence, pattern recognition computer vision also constantly carrying out technological innovation. Computer is to let computers, cameras, other machines receive like human beings, analyze process their semantic information, make coping strategies. As an importa...

PURPOSE To determine the frequency and types of vision disorders associated with concussion, and to determine the success rate of vision therapy for these conditions in two private practice settings. METHODS All records over an 18-month period of patients referred for post-concussion vision problems were reviewed from two private practices. Diagnoses of vergence, accommodative, or eye movemen...

Motion blur often affects the ball image in photographs and video frames in many sports such as tennis, table tennis, squash and golf. In this work we operate on a single calibrated image depicting a moving ball over a known background, and show that motion blurred ball images, usually unwelcome in computer vision, bear more information than a sharp image. We provide techniques for extracting s...

Elite sports performance fundamentally relies on a complex set of brain functions engaged once visual signals are relayed from the eye. In this review, we overview a series of these neural mechanisms-focusing specifically on the critical role of attention in sculpting the visual processing that takes place leading up to a decision. These brain functions are introduced within the theoretical con...

We focus on multi-agent-based egress simulation from large sports stadiums. We present the efficient Portal Clearinghouse algorithm for locating bottlenecks that are temporarily congested by agents. The purpose of this step is to allow agents who intend to use the congested portals to re-rout and avoid adding to existing congestions. We present simple heuristic techniques for other sub-problems...

The Interactive Ball (“I-Ball”) is a programmable tonal soccer ball that varies its output based on measurements from an inertial sensor. As a sporting aid for children with blindness and low-vision it makes participation in team sports more accessible without a conspicuous constant tone and in a manner the provides information when stationary. The paper presents the design rationale of the sys...

Using video analyzed from a novel deception experiment, this paper introduces computer vision research in progress that addresses two critical components to computational modeling of deceptive behavior: 1) individual nonverbal behavior differences, and 2) deceptive ground truth. Video interviews analyzed for this research were participants recruited as potential hooligans (extreme sports fans) ...