Utilizing data acquired by multiple wearable sensors can usually guarantee more accurate
recognition for deep learning based human activity recognition. However, an increased …

Deep learning has the potential to revolutionize sports performance, with applications
ranging from perception and comprehension to decision. This paper presents a …

Table tennis stroke training is a critical aspect of player development. We designed a new
augmented reality (AR) system, avaTTAR, for table tennis stroke training. The system …

Abstract The Internet of Things (IoT) has gained significant popularity through wearable
technologies. Several IoT devices are used in educational institutions, smart homes, and …

Hero drafting for multiplayer online arena (MOBA) games is crucial because drafting directly
affects the outcome of a match. Both sides take turns to" ban"/" pick" a hero from a roster of …

Tactics play an important role in team sports by guiding how players interact on the field.
Both sports fans and experts have a demand for analyzing sports tactics. Existing …

Continuum Computing encompasses the integration of diverse infrastructures, including
cloud, edge, and fog, to facilitate seamless migration of applications based on their specific …

Videos are an accessible form of media for analyzing sports postures and providing
feedback to athletes. Existing sport-specific systems embed bespoke human pose attributes …

In soccer, player scouting aims to find players suitable for a team to increase the winning
chance in future matches. To scout suitable players, coaches and analysts need to consider …

Table tennis is a sport that demands high levels of technical proficiency and body
coordination from players. Biomechanical fingerprints can provide valuable insights into …