Results 241 to 250 of about 3,116,576 (279)

FCFD: Teach the machine to accomplish face detection step by step

2016 IEEE International Conference on Image Processing (ICIP), 2016
In this paper, a novel progressive strategy is proposed to teach the machine to accomplish face detection in the wild. Firstly, deep model named Fully-connected Face Classifier (FCFC) is built up. With the targeted training data, FCFC learns the knowledge corresponding to distinguish face in various pose, facial expression, occlusion proportion, and ...
Shilun Lin, Fei Su
openaire   +1 more source

A Two Step Approach for Joint Detection

2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP), 2020
Human joints can be used in areas such as activity recognition, animation, augmented reality and robotics. Thus, there is a need to correctly detect these points. This paper proposes a two step method for joint detection. First an initial prediction is performed using the HRNet network.
Irina Maria Sandu, Irina Mocanu, Lucia Rusu   +2 more
openaire   +1 more source

Detecting Stepping-Stone with Chaff Perturbations

21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007
Attackers on the Internet like to indirectly launch network intrusions by using stepping-stones. In this paper, we propose a novel approach to decrease the packet bound by performing a transformation of packet difference of two streams of a host in order to distinguish stepping-stone connections.
Han-Ching Wu, Shou-Hsuan Stephen Huang
openaire   +1 more source

Pedometer with detection of Step

2013
The main object of the work is creation of soft- ware to detect the number of steps from accelerometric data.
M. Augustynek, O. Adamec, M. Cerny
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Step Detection for Rollator Users with Smartwatches

Proceedings of the Symposium on Spatial User Interaction, 2018
Smartwatches enable spatial user input, namely for the continuous tracking of physical activity and relevant health parameters. Additionally, smartwatches are experiencing greater social acceptability, even among the elderly. While step counting is an essential parameter to calculate the user's spatial activity, current detection algorithms are ...
Denys J. C. Matthies, Marian Haescher, Suranga Nanayakkara, Gerald Bieber   +3 more
openaire   +1 more source

Step by Step: Early Detection of Diseases Using an Intelligent Floor

2018
The development of sensor technologies in smart homes helps to increase user comfort or to create safety through the recognition of emergency situations. For example, lighting in the home can be controlled or an emergency call can be triggered if sensors hidden in the floor detect a fall of a person.
Lisa Scherf, Florian Kirchbuchner, Julian von Wilmsdorff, Biying Fu, Andreas Braun 0001, Arjan Kuijper   +5 more
openaire   +1 more source

Automatic Step Detection in the Accelerometer Signal

2007
The automatic step detection is a crucial component for the analysis of vegetative locomotor coordination during monitoring the patients with Parkinson’s disease. It is aimed to develop the algorithms for automatic step detection in the accelerometer signal, which will be integrated in sensor networks for neurological rehabilitation research.
Hong Ying, Carmen Silex, Andreas Schnitzer, Steffen Leonhardt, Michael Schiek   +4 more
openaire   +1 more source

[Preclinical early detection and diagnosis of sepsis - step by step].

Deutsche medizinische Wochenschrift (1946), 2023
Because of very unspecific sepsis symptoms, early recognition of the emergency sepsis is difficult. If the disease is recognized in time it is possible to initiate diagnosis and treatment quickly. Rapid treatment of sepsis leads to lower mortality and less severe long-term consequences.
Anja, Kühn, Matthias, Gründling
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A one step motion detection circuitry

Biosystems, 1997
A model of motion and direction detection is presented as well as results from a computer simulation of the model. The model is based on cooperative computations which allows an extremely simple architecture. Furthermore, it involves only one logical step in its computations even though Hubel and others have argued that motion detection requires at ...
openaire   +2 more sources

Hybrid Multi-step Disfluency Detection

2008
Previous research has shown that speech disfluencies - speech errors that occur in spoken language - affect NLP systems and hence need to be repaired or at least marked. This study presents a hybrid approach that uses different detection techniques for this task where each of these techniques is specialized within its own disfluency domain. A thorough
Sebastian Germesin, Tilman Becker, Peter Poller   +2 more
openaire   +1 more source