This paper presents a review of different classification techniques used to recognize human activities from wearable inertial sensor data. Three inertial sensor units were used in this …
S Gupta - International Journal of Information Management Data …, 2021 - Elsevier
Motion or inertial sensors such as gyroscope and accelerometer commonly found in smartwatches and smartphones can measure characteristics such as acceleration and …
The last 20 years have seen ever-increasing research activity in the field of human activity recognition. With activity recognition having considerably matured, so has the number of …
Rapid growth of the aged population has caused an immense increase in the demand for healthcare services. Generally, the elderly are more prone to health problems compared to …
Research on sensor-based activity recognition has, recently, made significant progress and is attracting growing attention in a number of disciplines and application domains. However …
M Zhang, AA Sawchuk - Proceedings of the 2012 ACM conference on …, 2012 - dl.acm.org
Many ubiquitous computing applications involve human activity recognition based on wearable sensors. Although this problem has been studied for a decade, there are a limited …
Many real-world applications that focus on addressing needs of a human, require information about the activities being performed by the human in real-time. While advances …
Our tools and appliances are becoming increasingly more intelligent and interconnected, giving birth to an “Internet of Things” that can be used to support new types of cyber-physical …
Many intelligent systems that focus on the needs of a human require information about the activities being performed by the human. At the core of this capability is activity recognition …