scholar.google.com › citations
This research has the potential to enhance the quality of life for the elderly and provide caregivers with the necessary tools to provide better care by ...
This study focused specifically on utilizing data from internal sensors to recognize activities such as walking, ascending/descending stairs, sitting, standing, ...
In order to extract detailed information about the environment, a mass of high dimensional nonlinear data information were collected by wireless multimedia ...
Bibliographic details on Real-Time Human Activity Recognition Using Dimensionality Reduction in Wireless Multimedia Sensor Networks.
Real-Time Human Activity Recognition Using Dimensionality Reduction in Wireless Multimedia Sensor Networks. Adnan Yazici, Serik Almakhan, E. Ever. 2023 ...
This paper proposes a deep learning driven wireless human activity recognition solution based on Multiple-Input-. Multiple-Output (MIMO) radar sensing. User ...
In this chapter we present the state of the art probabilistic models used in activity recognition and show their performance on several real world datasets.
Missing: Reduction | Show results with:Reduction
People also ask
What is human activity recognition using sensor data?
What is human activity recognition using deep learning?
What is human activity recognition using accelerometer?
In addition, we implemented dimensionality reduction to decrease the number of features, which helped reduce computational time and energy consumption, and ...
Sep 28, 2023 · This article introduces a novel approach to human activity recognition (HAR) by presenting a sensor that utilizes a real-time embedded neural network.
Missing: Wireless Multimedia
Although current human activity recognition can achieve high accuracy rates, data sequences with high-dimensionality are required for a reliable decision to ...