Objective assessment of an athlete's performance is of importance in elite sports to facilitate
detailed analysis. The implementation of automated detection and recognition of sport …

As an active research field, sport-related activity monitoring plays an important role in
people's lives and health. This is often viewed as a human activity recognition task in which …

Inertial measurement units (IMU) are widely used in sports applications to digitise human
motion by measuring acceleration and rotational velocity in three-dimensional space. A …

This study presents a deep learning model devoted to the analysis of swimming using a
single Inertial Measurement Unit (IMU) attached to the sacrum. Gyroscope and …

Human activity recognition from raw sensor data has enabled modern wearable devices to
track and analyze everyday activities. However, when used in real world conditions, the …

Smart heating applications promise to increase energy efficiency and comfort by collecting
and processing room climate data. While it has been suspected that the sensed data may …

Researchers have heralded the power of inertial sensors as a reliable swimmer-centric
monitoring technology, however, regular uptake of this technology has not become common …

Body movements monitoring may allow preventing, diagnosing, and recovering several
wrong attitudes that could lead to possible future diseases. A multisensor system was …

RETRACTED: Image recognition algorithm for exercise fatigue based on FPGA processor
and motion image capture - ScienceDirect Skip to main contentSkip to article Elsevier logo …

Recent advancements in deep learning have significantly enhanced the recognition of
player activities in sports by enabling automatic feature extraction. In our proposed work, we …