Abstract 20 falls and 16 daily living activities were performed by 17 volunteers with 5 repetitions while wearing 6 sensors (3.060 instances) that attached to their head, chest, waist, wrist, thigh and ankle. See the appended .docx file for dataset description and other important information that helps in navigating the dataset. Citation request ?zdemir, A. T. and Barshan, B., Detecting Falls with Wearable Sensors Using Machine Learning Techniques, Sensors 2014, 14, 10691-10708 Cross-posted to UCI Machine Learning Repository https://archive.ics.uci.edu/ml/datasets/Simulated+Falls+and+Daily+Living+Activities+Data+Set