Results 31 to 40 of about 7,156,184 (249)

Mars: a personalised mobile activity recognition system [PDF]

, 2012
Mobile activity recognition focuses on inferring the current activities of a mobile user by leveraging the sensory data that is available on today’s smart phones.
Krishnaswamy, S., Shonali Krishnaswamy, Bártolo Gomes, Joao Paulo, Mohamed Medhat Gaber, Gaber, M., Gomes, J., Sousa, P., Pedro A.C. Sousa, Menasalvas, E., Joao B'rtolo Gomes, Krishnaswamy, Shonali, Ernestina Menasalvas, Gaber, Mohamed M., Sousa, Pedro, Menasalvas Ruiz, Ernestina   +14 more
core   +1 more source

Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers [PDF]

, 2006
In order to provide relevant information to mobile users, such as workers engaging in the manual tasks of maintenance and assembly, a wearable computer requires information about the user's specific activities.
Lukowicz, Paul, Troster, Gerhard, Ward, Jamie A, Starner, Thad E.   +3 more
core   +4 more sources

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

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

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

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   +2 more sources

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