Due to an increased popularity of assistive healthcare technologies activity recognition has
become one of the most widely studied problems in technology-driven assistive healthcare
domain. Current approaches for smart-phone based activity recognition focus only on simple
activities such as locomotion. In this paper, in addition to recognizing simple activities, we
investigate the ability to recognize complex activities, such as cooking, cleaning, etc. through
a smart phone. Features extracted from the raw inertial sensor data of the smart phone …

… Figure: Accuracy of K-star with and without using orientation information from gyroscope …
• Simple activities recognized very accurately. • Accuracy for complex activities not to high. …