Results 231 to 240 of about 2,910,569 (277)
Some of the next articles are maybe not open access.
Continual Learning for Activity Recognition
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022The recent success of deep neural networks in prediction tasks on wearable sensor data is evident. However, in more practical online learning scenarios, where new data arrive sequentially, neural networks suffer severely from the "catastrophic forgetting" problem.
Ramesh, Kumar Sah +2 more
openaire +2 more sources
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
The next generation of human activity recognition applications in ubiquitous computing scenarios focuses on assessing the quality of activities, which goes beyond mere identification of activities of interest. Objective quality assessments are often difficult to achieve, hard to quantify, and typically require domain specific background information ...
Khan, Aftab +6 more
openaire +1 more source
The next generation of human activity recognition applications in ubiquitous computing scenarios focuses on assessing the quality of activities, which goes beyond mere identification of activities of interest. Objective quality assessments are often difficult to achieve, hard to quantify, and typically require domain specific background information ...
Khan, Aftab +6 more
openaire +1 more source
Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003
The concept of active object recognition is introduced, and a proposal for its solution is described. The camera is mounted on the end of a robot arm on a mobile base. The system exploits the mobility of the camera by using low-level image data to drive the camera to a standard viewpoint with respect to an unknown object.
D. Wilkes, J.K. Tsotsos
openaire +1 more source
The concept of active object recognition is introduced, and a proposal for its solution is described. The camera is mounted on the end of a robot arm on a mobile base. The system exploits the mobility of the camera by using low-level image data to drive the camera to a standard viewpoint with respect to an unknown object.
D. Wilkes, J.K. Tsotsos
openaire +1 more source
Composite Activity Recognition
2019Activity recognition is essential in providing activity assistance for users in smart homes. While significant progress has been made for single-user single-activity recognition, it still remains a challenge to carry out real-time progressive composite activity recognition.
Liming Chen, Chris D. Nugent
openaire +1 more source
Activity recognition with smartphone support
Medical Engineering & Physics, 2014In this paper, the authors describe a method of accurately detecting human activity using a smartphone accelerometer paired with a dedicated chest sensor. The design, implementation, testing and validation of a custom mobility classifier are also presented.
Guiry, J.J. +4 more
openaire +5 more sources
Transinformation for active object recognition
Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 2002This article develops an analogy between object recognition and the transmission of information through a channel based on the statistical representation of the appearances of 3D objects. This analogy provides a means to quantitatively evaluate the contribution of individual receptive field vectors, and to predict the performance of the object ...
Schiele, B. ; https://orcid.org/0000-0001-9683-5237 +1 more
openaire +2 more sources
2019
Detailed technical presentation of our contributions that are related to Active Scene Recognition. This includes our approaches to Object Pose Prediction and Next-Best-View estimation.
openaire +1 more source
Detailed technical presentation of our contributions that are related to Active Scene Recognition. This includes our approaches to Object Pose Prediction and Next-Best-View estimation.
openaire +1 more source
Duration discretisation for activity recognition
Technology and Health Care, 2007Activity recognition has become a key component within smart environments that aim at providing assistive solutions for their users. Learning high level activities from low level sensor data depends on several parameters, one of which is the duration of the activities themselves.
Priyanka, Chaurasia +3 more
openaire +2 more sources
Encoding Activity and Face Recognition
Memory, 1997A series of studies conducted over the past 20 years have explored the effects of various tasks on recognition memory for faces. Memory for faces appears better when the study task involves judgements about an abstract trait rather than a physical feature.
Coin, C., Tiberghien, G.
openaire +2 more sources