The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper addresses the problem of feature extraction for 3d point cloud data by using autoencoder. Deep learning is one of the most active fields of artificial intelligence, especially in a variety of visual applications, such as image classification and object recognition. However it has not been successfully applied on 3d point cloud data. In this paper, a new method of analyzing the point cloud...
It is important for a robot to be able to open a door in indoor environment. There are occasions when the robot has to open a locked door with a key. Problem arises when the robot tries to insert the key into the keyhole; it has to know the location and direction of the keyhole. In this paper, a procedure is developed to deal with this problem. First we detect the keyhole with the HOG features and...
In this paper, we proposed a new algorithm based on independent keypoints databases for indoor place recognition. In analogy with set operation, a new kind of operations for keypoints sets are defined to describe the process of independent keypoints database establishment and place classification. To obtain the databases, keypoints are firstly extracted from sample images whose class are known, and...
In this paper we present a new concept of self-reflection learning to support a deep reinforcement learning model. The self-reflective process occurs offline between episodes to help the agent to learn to navigate towards a goal location and boost its online performance. In particular, a so far optimal experience is recalled and compared with other similar but suboptimal episodes to reemphasize worthy...
In this paper, we propose a muscle gesture-computer interface (MGCI) system for a five-fingered robotic hand control employing a commercial wearable MYO gesture armband. Eight channels of surface EMG (sEMG) signals were acquired and segmented. Then four levels of Daubechies 5 Wavelet family were performed to analyze the EMG signal. Totally 72 features were extracted from the EMG raw data for 16 hand...
Optical tracking method has been largely usedfor medical navigation system in Robotic Image GuidedSurgery (IGS). One of the methods proposed by recentresearcher is to use colour feature as the marker for medicalinstruments detection and tracking. Since IGS system isusing preoperative imaging data set for reference, unintended patient movement can result in major errors. Inthis work, the position for...
This paper presents a recognition of images objects that are out of touch by capturing the texture of objects that existed in everyday life which sub-divided according to the different parts of the human hand palm. They are divided into sections based on the physiology of the human hand by dividing the exposure of 15, 20 and 26 proportions and then analyzed. This work is the basis design of human-like...
In this paper, a method todetect environmental hazards related to a fall risk using a mobile vision system is proposed. First-person perspective videos are proposed to provide objective evidence on cause and circumstances of perturbedbalance during activities of daily living, targeted to seniors. A classification problem was defined with 17 total classes of potential fall risks, including slope changes...
Nowadays, the technological and scientific research related to underwater perception is focused in developing more cost-effective tools to support activities related with the inspection, search and rescue of wreckages and site exploration: devices with higher autonomy, endurance and capabilities. Currently, specific tasks are already carried out by remotely-operated vehicles (ROV) and autonomous underwater...
This paper proposes a simple image processing approach for detecting and tracking objects in the surrounding environment purporting to drive a portable exoskeleton for upper extremity rehabilitation. An experiment was carried out to test the feasibility of the proposed approach. The experiment was to mimic reaching an object placed on a ruler board in front of the user in the sagittal plane. Kinematical...
For on-orbit maintenance and service of space robot, this paper presents a 6D-ICP approach for 3D reconstruction and state estimate of unknown non-cooperative target based on stereo vision. Optical flow is applied to target image features tracking in each monocular camera extracted by Harris detector across successive frames. The features tracked successively in each camera will be matched between...
Robotic devices can be a viable solution in different rehabilitation activities for increasing patients' gains, providing high-frequent, repetitive and interactive rehabilitation treatments. In this paper, the design, development and preliminary characterization of a robotic system for assisted hand rehabilitation, driven by surface EMG measurements, based on the mirroring of healthy hand movements...
Human activity recognition using new generation depth sensors are particularly important for application that require human activity recognition. In this paper, a deep learning based algorithm is developed human activity recognition using RGB-D video sequences. Based on the assumption that every human activity is composed of many smaller actions, a temporal structure is being learnt in order to improve...
The creation of distinctive subset of the interest points for near-duplicate image detection is significant in two terms. The former is that the query time decreases reasonably. The latter is that using the distinctive subset of the interest points for near-duplicate detection performs better than the ordinary subsets. In this paper, we propose a novel interest point selection method. Such a method,...
In this paper an overview about the methods and approaches used in the past to achieve facial expression recognition as well as an approach that involves the use of neural networks that proves to be very efficient are presented. The possibility to achieve up to 70% accuracy even without extraction of facial features is substantiated. Achievements related to the latest improvements in the field of...
Brain-machine interface (BMI) systems collect and classify electroencephalogram (EEG) data to predict the desired command of the user. The P300 EEG signal is passively produced when a user observes or hears a desired stimulus. The P300 can be used with a visual display to allow a BMI user to select commands from an array of selections. The visual stimuli are often repeated and averaged to increase...
One of the main recent research trends of the Italian Interuniversity Research Center on Integrated Systems for Marine Environment (ISME) is the use of marine cooperative teams of autonomous robots within the fields of security, prevention and management of emergencies at sea. Such fields are of worldwide interest for obvious reasons, but they have recently gained relevance in the current historical...
Personal robots are intended to assist people in their daily lives; therefore, it is important for them to efficiently learn how to accomplish tasks delineated by their human partners, in the environment in which they are situated. Toward that end however, it is arguably even more important to enable these robots to characterize their own uncertainty as they attempt to generalize task-specific knowledge...
When interacting with robots deployed in the open world, people may often attempt to engage with them in a playful manner or test their competencies. Such engagements are often associated with language and behaviors that fall outside of designed task capabilities and can lead to interaction failures. Detecting when users are driven by play and curiosity can help a robot to understand why some interactions...
Recent studies have shown that human beings unconsciously use signals that represent their thoughts and/or intentions when communicating with each other. These signals are known as “honest signals.” This study involves the use of a sociometer to capture multimodal data resulting from the interaction between humans. These data are then used to model the interaction using a multimodal hierarchical Dirichlet...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.