Vision-Based Toddler Activity Recognition: Challenges and Applications

Advances in Artificial Intelligence and Computer Vision have made automation systems popular in a variety of fields. One of these is Human Activity Recognition (HAR), because the HAR is a complex system, many issues and challenges need to be addressed. One of the most challenging research areas in HAR is identifying toddler activities from various vision input devices. In order to enhance the safety and wellness of toddlers, their behavior has to be studied separately. This research examines existing vision-based toddler activity recognition systems, available datasets to conduct experiments, challenges involved, and potential societal applications. Furthermore, some interesting problems and ideas for future research are presented.