Approaching the real-world: Supporting activity recognition training with virtual imu data
Recently, IMUTube introduced a paradigm change for bootstrap** human activity
recognition (HAR) systems for wearables. The key idea is to utilize videos of activities to …
recognition (HAR) systems for wearables. The key idea is to utilize videos of activities to …
Video based exercise recognition and correct pose detection
Human pose estimation has gained significant attention from researchers of the present era.
Personal exercise sessions can be monitored and supervised with the help of pose …
Personal exercise sessions can be monitored and supervised with the help of pose …
A survey of human action recognition using accelerometer data
Recognizing human actions and analyzing human behaviors from accelerometer data has
become a challenging task. Hence, Human Action Recognition (HAR) using inertial sensors …
become a challenging task. Hence, Human Action Recognition (HAR) using inertial sensors …
Recognition and repetition counting for local muscular endurance exercises in exercise-based rehabilitation: A comparative study using artificial intelligence models
Exercise-based cardiac rehabilitation requires patients to perform a set of certain prescribed
exercises a specific number of times. Local muscular endurance exercises are an important …
exercises a specific number of times. Local muscular endurance exercises are an important …
Characterization of a wearable system for automatic supervision of fitness exercises
It is widely known that physical activity is an effective tool for preventing several diseases.
However, unsupervised training may lead to poor execution quality, resulting in ineffective …
However, unsupervised training may lead to poor execution quality, resulting in ineffective …
Development of ai algorithm for weight training using inertial measurement units
Featured Application Fitness, Weight Training, Medical Rehabilitation, Sport Training, Health
Management. Abstract Thanks to the rapid development of Wearable Fitness Trackers …
Management. Abstract Thanks to the rapid development of Wearable Fitness Trackers …
Lightweight machine learning-based approach for supervision of fitness workout
It is widely known that physical activity helps preventing several diseases. However,
unsupervised training often results in low exercise quality, ineffective training, and, in worst …
unsupervised training often results in low exercise quality, ineffective training, and, in worst …
Intelligent Repetition Counting for Unseen Exercises: A Few-Shot Learning Approach with Sensor Signals
Y Lim, S Lee - arxiv preprint arxiv:2410.00407, 2024 - arxiv.org
Sensing technology has significantly advanced in automating systems that reflect human
movement, particularly in robotics and healthcare, where it is used to automatically detect …
movement, particularly in robotics and healthcare, where it is used to automatically detect …
The contribution of human body capacitance/body-area electric field to individual and collaborative activity recognition
The current dominated wearable body motion sensor is IMU. This work presented an
alternative wearable motion-sensing approach: human body capacitance (HBC, also …
alternative wearable motion-sensing approach: human body capacitance (HBC, also …
DeepPose: An Integrated Deep Learning Model for Posture Detection Using Image and Skeletal Data
Identifying human actions and postures presents significant challenges for computerized
systems. The categorization of these tasks holds particular relevance in the fields of health …
systems. The categorization of these tasks holds particular relevance in the fields of health …