KFall Dataset

The aim of KFall dataset is to contribute technology development for elderly fall detection and injury prevention. It was acquired by 32 young subjects with 21 types of activities of daily living (ADLs) and 15 types of falls from an inertial sensor attached on low back. In total, it contains 5075 motion files with 2729 ADL motions and 2346 fall motions. In addition, for each fall motion, ready-to-use fall labels (fall initialization and fall impact moment) based on synchronized video references were also included.