Results 21 to 30 of about 980,735 (314)

Privacy‐preserving remote sensing images recognition based on limited visual cryptography

CAAI Transactions on Intelligence Technology, 2023
With the arrival of new data acquisition platforms derived from the Internet of Things (IoT), this paper goes beyond the understanding of traditional remote sensing technologies.
Denghui Zhang, Muhammad Shafiq, Liguo Wang, Gautam Srivastava, Shoulin Yin   +4 more
doaj   +1 more source

Research on Hyper-Parameter Optimization of Activity Recognition Algorithm Based on Improved Cuckoo Search

Entropy, 2022
Activity recognition methods often include some hyper-parameters based on experience, which greatly affects their effectiveness in activity recognition.
Yu Tong, Bo Yu
doaj   +1 more source

Active Goal Recognition Design [PDF]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
In Goal Recognition Design (GRD), the objective is to modify a domain to facilitate early detection of the goal of a subject agent. Most previous work studies this problem in the offline setting, in which the observing agent performs its interventions before the subject begins acting.
Kevin C. Gall, Wheeler Ruml, Sarah Keren
openaire   +1 more source

An Efficient Human Activity Recognition Technique Based on Deep Learning [PDF]

, 2019
In this paper, we present a new deep learning-based human activity recognition technique. First, we track and extract human body from each frame of the video stream. Next, we abstract human silhouettes and use them to create binary space-time maps (BSTMs)
KHELALEF, Aziz, A. Khelalef, F. Ababsa, ABABSA, Fakhreddine, N. Benoudjit, BENOUDJIT, Nabil   +5 more
core   +1 more source

Human Activity Recognition by Sequences of Skeleton Features

Sensors, 2022
In recent years, much effort has been devoted to the development of applications capable of detecting different types of human activity. In this field, fall detection is particularly relevant, especially for the elderly.
Heilym Ramirez, Sergio A. Velastin, Paulo Aguayo, Ernesto Fabregas, Gonzalo Farias   +4 more
doaj   +1 more source

Parameterized Modeling and Recognition of Activities [PDF]

Computer Vision and Image Understanding, 1999
In this paper we consider a class of human activities?atomic activities?which can be represented as a set of measurements over a finite temporal window (e.g., the motion of human body parts during a walking cycle) and which has a relatively small space of variations in performance.
Yaser Yacoob, Michael J. Black
openaire   +1 more source

StreamAR: incremental and active learning with evolving sensory data for activity recognition [PDF]

, 2012
Activity recognition focuses on inferring current user activities by leveraging sensory data available on today’s sensor rich environment. Supervised learning has been applied pervasively for activity recognition.
Gaber, Mohamed Medhat, M. M. Gaber, B. Srinivasan, Krishnaswamy, S., Z. S. Abdallah, Krishnaswamy, Shonali, Abdallah, Z., Srinivasan, B., Gaber, M., Srinivasan, B, S. Krishnaswamy, Abdallah, Zahraa S.   +11 more
core   +1 more source

Are Smart Homes Adequate for Older Adults with Dementia?

Sensors, 2022
Smart home technologies can enable older adults, including those with dementia, to live more independently in their homes for a longer time. Activity recognition, in combination with anomaly detection, has shown the potential to recognise users’ daily ...
Gibson Chimamiwa, Alberto Giaretta, Marjan Alirezaie, Federico Pecora, Amy Loutfi   +4 more
doaj   +1 more source

Energy and Accuracy Trade-Offs in Accelerometry-Based Activity Recognition [PDF]

, 2013
Driven by real-world applications such as fitness, wellbeing and healthcare, accelerometry-based activity recognition has been widely studied to provide context-awareness to future pervasive technologies.
Geoff V. Merrett, Merrett, Geoff V., Alex Rogers, Robert G. Maunder, Wang, Ning, Rogers, Alex, Ning Wang, Maunder, Robert G.   +7 more
core   +1 more source

From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning

Sensors, 2021
The applicability of sensor-based human activity recognition in sports has been repeatedly shown for laboratory settings. However, the transferability to real-world scenarios cannot be granted due to limitations on data and evaluation methods.
Maike Stoeve, Dominik Schuldhaus, Axel Gamp, Constantin Zwick, Bjoern M. Eskofier   +4 more
doaj   +1 more source