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human-activity
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Total 22 records
Numerical and experimental investigation of particle resuspension due to human walking
, Article 12th International Conference on Indoor Air Quality and Climate 2011, 5 June 2011 through 10 June 2011 ; Volume 2 , June , 2011 , Pages 1082-1083 ; 9781627482721 (ISBN) ; Sajadi, B ; Tian, Y ; Goldasteh, I ; Ahmadi, G ; Ferro, A. R ; Sharif University of Technology
2011
A new scheme for the development of IMU-based activity recognition systems for telerehabilitation
, Article Medical Engineering and Physics ; Volume 108 , 2022 ; 13504533 (ISSN) ; Eslaminia, A. R ; Bakhshayesh, P. R ; Ejtehadi, M ; Alibiglou, L ; Behzadipour, S ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Wearable human activity recognition systems (HAR) using inertial measurement units (IMU) play a key role in the development of smart rehabilitation systems. Training of a HAR system with patient data is costly, time-consuming, and difficult for the patients. This study proposes a new scheme for the optimal design of HARs with minimal involvement of the patients. It uses healthy subject data for optimal design for a set of activities used in the rehabilitation of PD1 patients. It maintains its performance for individual PD subjects using a single session data collection and an adaptation procedure. In the optimal design, several classifiers (i.e. NM, k-NN, MLP with RBF as a hidden layer, and...
Human Activity Recognition with Spatio Temporal Features in RGB-D Videos
, M.Sc. Thesis Sharif University of Technology ; Jamzad, Mansour (Supervisor)
Abstract
Human activity recognition is an important and useful area in computer vision that application include surveillance systems, patient monitoring systems, human-computer interaction and analyse video data from big websites.Traditional Human action recognition use the RGB videos as default input that unable describe motion and action as full. On the other hand Kinect camera sendsthe RGB data to output in addition to the Depth Data that allows us to extract skeleton of human easily. Recently Space-time features have been particulary popular in RGB Videos because of their structure. These features are describedby their descriptor and send the good and important information to output.Finally we...
A weighting scheme for mining key skeletal joints for human action recognition
, Article Multimedia Tools and Applications ; Volume 78, Issue 22 , 2019 , Pages 31319-31345 ; 13807501 (ISSN) ; Naghsh Nilchi, A. R ; Kasaei, S ; Sharif University of Technology
Springer New York LLC
2019
Abstract
A novel class-dependent joint weighting method is proposed to mine the key skeletal joints for human action recognition. Existing deep learning methods or those based on hand-crafted features may not adequately capture the relevant joints of different actions which are important to recognize the actions. In the proposed method, for each class of human actions, each joint is weighted according to its temporal variations and its inherent ability in extension or flexion. These weights can be used as a prior knowledge in skeletal joints-based methods. Here, a novel human action recognition algorithm is also proposed in order to use these weights in two different ways. First, for each frame of a...
Autonomous litter surveying and human activity monitoring for governance intelligence in coastal eco-cyber-physical systems
, Article Ocean and Coastal Management ; Volume 200 , 2021 ; 09645691 (ISSN) ; Majidi, B ; Movaghar, A ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
The human impact on the coastal ecosystems is a global environmental concern. Due to the growing urbanization, industrialization, and transportation, this impact on the living and non-living components of the coastal area is expected to further increase in the coming years. Artificial intelligence based automation of the coastal monitoring, including data collection, analysis and decision making, provides real-time insights and opportunities for large-scale coastal management and governance. In this paper, a framework for autonomous litter surveying and human activity monitoring for governance intelligence in coastal eco-cyber-physical systems (ecoCystem) is presented. A large dataset of...
4D Human Action Recognition Using A Fixed RGB-D Camera
,
M.Sc. Thesis
Sharif University of Technology
;
Kasaei, Shohreh
(Supervisor)
Abstract
Human action recognition is one of the computer vision branches. Video surveillance and human-computer interaction is among its modern applications. The main goal of this subject is to label RGB-D videos which are captured from acting human. Therefore, labeling the input videos among pre-learned action is called as action recognition.The action recognition problem consists of two primary parts. The first part is selecting a suitable descriptor to describe input videos, and the other part is the way that the system has been learned based on the learning action data. The main goal of this research title is to propose a method for recognizing each action video (that is acted by human and...
Development of a Classifier for the Human Activity Recognition System of PD Patients Using Biomechanical Features of Motion
, M.Sc. Thesis Sharif University of Technology ; Behzadipour, Saeed (Supervisor)
Abstract
Parkinson’s disease (PD) is a neurodegenerative disorder and during the last few years considerable measures have been taken to rehabilitate its patients. To prevent the disorder from deteriorating and to control its progress, patients have to undergo some therapy sessions that incorporate some mobility exercises e.g. walking, sitting up and down, and etc. Since transporting the patients to the clinical centers is too burdensome, growing attention is drawn towards telerehabilitation. To this end, DMRCINT has developed a telerehab system for PD patients. This system is an intelligent classifier that uses features of linear acceleration and angular velocity signals to detect the activity that...
Development of a Human Activity Recognition System with an Adaptive Neuro-Fuzzy Post-Processing for the Lee Silverman Voice Treatment-BIG and Functional Activities
, M.Sc. Thesis Sharif University of Technology ; Behzadipour, Saeed (Supervisor)
Abstract
Human Activity Recognition (HAR) has had tremendous improvements in the field of elderly monitoring and telerehabilitation. An anchor point for HAR systems in telerehabilitation is supervising rehabilitative excercises. For Parkinson’s disease (PD) patients, a group of rehabilitative activities, known as Lee Silverman Voice Treatment-BIG, or LSVT-BIG, have shown to be effective in improving motor performance. Similar to any rehabilitative measure, delivering these activities requires the supervision of an expert or clinician, so that the patient receives proper feedbacks. HAR systems can replace human experts. They can recognize activities and provide the user with proper feedback. HAR...
Improving the Performance of an Activity Recognition System Using Meaningful Data Augmentation and Deep Learning Methods
, M.Sc. Thesis Sharif University of Technology ; Behzadipour, Saeed (Supervisor)
Abstract
Researchers working at Mowafaghian Rehabilitation Research Center have decided to develop a telerehabilitation system named SEPANTA, especially designed for activity recognition of Parkinson's Disease patients. In this regard, the system uses 34 mobility exercises, including 20 LSVT-BIG activities (especially designed for PD patients) and 14 functional daily activities. Human Activity Recognition (HAR) systems faces various challenges e.g., intra-class variabilities, meaning differences in an activity performance by different persons or a person. Data augmentation and utilizing deep learning models are the most common solutions for the risen challenges. However, deep structures require an...
Efficient design of a torque actuator for lower extremity exoskeleton based on muscle function analysis
, Article 2011 International Conference on Mechatronics and Materials Processing, ICMMP 2011, Guangzhou, 18 November 2011 through 20 November 2011 ; Volume 328-330 , 2011 , Pages 1041-1044 ; 10226680 (ISSN) ; 9783037852385 (ISBN) ; Selk Ghafari, A ; Meghdari, A ; Guangzhou University ; Sharif University of Technology
2011
Abstract
Several lower extremity exoskeletal systems have been developed for augmentation purpose. Common actuators, have important drawbacks such as complexity, and poor torque capacities. The main scope of this research is to propose a series elastic actuator for lower extremity exoskeletal system which was designed based on muscle functional analysis. For this purpose, a biomechanical framework consisting of a musculoskeletal model with ten degrees-of-freedom actuated by eighteen Hill-type musculotendon actuators per leg is utilized to perform the muscle functional analysis for common daily human activities. The simulation study illustrated functional differences between flexor and extensor...
Graph based semi-supervised human pose estimation: When the output space comes to help
, Article Pattern Recognition Letters ; Volume 33, Issue 12 , September , 2012 , Pages 1529-1535 ; 01678655 (ISSN) ; Rabiee, H. R ; Faghri, F ; Rohban, M. H ; Sharif University of Technology
Elsevier
2012
Abstract
In this letter, we introduce a semi-supervised manifold regularization framework for human pose estimation. We utilize the unlabeled data to compensate for the complexities in the input space and model the underlying manifold by a nearest neighbor graph. We argue that the optimal graph is a subgraph of the k nearest neighbors (k-NN) graph. Then, we estimate distances in the output space to approximate this subgraph. In addition, we use the underlying manifold of the points in the output space to introduce a novel regularization term which captures the correlation among the output dimensions. The modified graph and the proposed regularization term are utilized for a smooth regression over...
Simultaneous joint and object trajectory templates for human activity recognition from 3-D data
, Article Journal of Visual Communication and Image Representation ; Volume 55 , 2018 , Pages 729-741 ; 10473203 (ISSN) ; Mohammadzade, H ; Korki, E ; Sharif University of Technology
Academic Press Inc
2018
Abstract
Availability of low-cost range sensors and the development of relatively robust algorithms for the extraction of skeleton joint locations have inspired many researchers to develop human activity recognition methods using 3-D data. In this paper, an effective method for the recognition of human activities from the normalized joint trajectories is proposed. We represent the actions as multidimensional signals and introduce a novel method for generating action templates by averaging the samples in a “dynamic time” sense. Then, in order to deal with the variations in speed and style of performing actions, we warp the samples with action templates by an efficient algorithm and employ wavelet...
Land subsidence: a global challenge
, Article Science of the Total Environment ; Volume 778 , 2021 ; 00489697 (ISSN) ; Hosseini, M ; Ataie Ashtiani, B ; Sohani, Y ; Ebrahimian, H ; Morovat, F ; Ashrafi, S ; Sharif University of Technology
Elsevier B.V
2021
Abstract
This study presents a comprehensive review of the Land subsidence (LS) cases, as a worldwide environmental, geological, and global geohazard concern. Here, 290 case studies around the world mostly conducted in large metropolitan cities (e.g. Bangkok, Beijing, California, Houston, Mexico City, Shanghai, Jakarta, and Tokyo) in 41 countries were collected. The spatial distribution of LS characteristics (e.g. intensity, magnitude, and affected area), impacts, and influential factors are scrutinized. Worldwide attempts to remedy the crisis of LS were also investigated in this review. It is shown that the coastal plains and river deltaic regions are of high-frequent subsided areas around the world...
Seasonal trends in the composition and sources of PM2.5 and carbonaceous aerosol in Tehran, Iran
, Article Environmental Pollution ; Volume 239 , 2018 , Pages 69-81 ; 02697491 (ISSN) ; Zare Shahne, M ; Hosseini, V ; Roufigar Haghighat, N ; Lai, A. M ; Schauer, J. J ; Sharif University of Technology
Elsevier Ltd
2018
Abstract
Currently PM2.5 is a major air pollution concern in Tehran, Iran due to frequent high levels and possible adverse impacts. In this study, which is the first of its kind to take place in Tehran, composition and sources of PM2.5 and carbonaceous aerosol were determined, and their seasonal trends were studied. In this regard, fine PM samples were collected every six days at a residential station for one year and the chemical constituents including organic marker species, metals, and ions were analyzed by chemical analysis. The source apportionment was performed using organic molecular marker-based CMB receptor modeling. Carbonaceous compounds were the major contributors to fine particulate mass...
Complex Activity Recognition by Means of an IMU-Based Wearable System for the Purpose of PD Patients’ Rehabilitation
, M.Sc. Thesis Sharif University of Technology ; Behzadipour, Saeed (Supervisor) ; Ali Beiglou, Leila (Co-Supervisor)
Abstract
Parkinson's is a disease caused by a disorder in the central nervous system of the body. There is no definite cure for this disease, but one of the ways to prevent the progress of this disease is to use movement therapy. One of the goals of designing wearable systems consisting of inertial sensors is to make it possible to perform this movement therapy from a distance. The purpose of the present study and research is to use the approach of simple and complex activities in order to increase the accuracy in the detection of activities and also to solve the problems of the previous system, with the help of creating the ability to detect complex meaningful activities for Parkinson's patients. In...
A novel force-based approach for designing armor blocks of high-crested breakwaters
, Article Scientia Iranica ; Vol. 21, issue. 3 , 2014 , pp. 534-547 ; ISSN: 10263098 ; Sarfaraz, M ; Sharif University of Technology
Abstract
Rubble-mound breakwaters are common marine structures that provide a safe area for human coastal activities. The stability of these structures against sea-waves requires their seaward slope to be protected by an armor layer consisting of natural rock or concrete units. To provide a safe breakwater, it is reasonable to establish a relation between the exerted wave loads and the stability of the armor units. However, up to now, the empirical design equations, derived from model tests, relate wave parameters to armor weight, and keeps the effect of wave loads in a black box. In this paper, a new approach, based on numerically-derived wave loads on the armor, is presented to evaluate the...
HMM based semi-supervised learning for activity recognition
, Article SAGAware'11 - Proceedings of the 2011 International Workshop on Situation Activity and Goal Awareness, 18 September 2011 through 18 September 2011, Beijing ; September , 2011 , Pages 95-99 ; 9781450309264 (ISBN) ; Rabiee, H. R ; Pourdamghani, N ; Khanipour, P ; Sharif University of Technology
2011
Abstract
In this paper, we introduce a novel method for human activity recognition that benefits from the structure and sequential properties of the test data as well as the training data. In the training phase, we obtain a fraction of data labels at constant time intervals and use them in a semi-supervised graph-based method for recognizing the user's activities. We use label propagation on a k-nearest neighbor graph to calculate the probability of association of the unlabeled data to each class in this phase. Then we use these probabilities to train an HMM in a way that each of its hidden states corresponds to one class of activity. These probabilities are used to learn the transition probabilities...
Vulnerability assessment of urban groundwater resources to nitrate: the case study of Mashhad, Iran
, Article Environmental Earth Sciences ; Volume 76, Issue 1 , 2017 ; 18666280 (ISSN) ; Ataie Ashtiani, B ; Beheshti, A ; Sharif University of Technology
Springer Verlag
2017
Abstract
Groundwater vulnerability assessment of urban areas is a challenging task in the fast trend of urbanization around the globe. This study introduces a new approach for modifying well-known parameters of common vulnerability indexes to adjust them for urban areas. The approach is independent of a specific weighting system. The aquifer of Mashhad city, contaminated by domestic wastewater, is selected as a case in this study. In order to evaluate the aquifer vulnerability due to anthropogenic activities, at first, parameters of depth to groundwater, recharge, land use, and soil are modified based on their basic concepts and their influences on contamination attenuation. Then, the modified...
Localized CAPTCHA for illiterate people
, Article 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007, Kuala Lumpur, 25 November 2007 through 28 November 2007 ; 2007 , Pages 675-679 ; 1424413559 (ISBN); 9781424413553 (ISBN) ; Shirali Shahreza, M ; Sharif University of Technology
2007
Abstract
Nowadays, many daily human activities such as education, commerce, talks, etc. are carried out through the Internet. In cases such as the registering in websites, some hackers write programs to make automatic false enrolments which waste the resources of the website while this may even stop the entire website from working. Therefore, it is necessary to tell apart human users from computer programs which is known as CAPTCHA (Completely Automated Public Turing test to tell Computers and Human Apart). CAPTCHA methods are mainly based on the weak points of OCR (Optical Character Recognition) systems while using them are undesirable to human users. So the Non-OCR-Based CAPTCHA methods are...
Multilingual CAPTCHA
, Article ICCC 2007 - 5th IEEE International Conference on Computational Cybernetics, Gammarth, 19 October 2007 through 21 October 2007 ; 2007 , Pages 135-139 ; 1424411467 (ISBN); 9781424411467 (ISBN) ; Shirali Shahreza, M ; Sharif University of Technology
2007
Abstract
Currently, many daily human activities such as education, commerce and talks are carried out through the Internet. In cases such as the registering in websites, some hackers write programs to make automatic false enrolments which waste the resources of the website while this may even stop the entire website from working. Therefore, it is necessary to tell apart human users from computer programs which is known as CAPTCHA (Completely Automated Public Turing test to tell Computers and Human Apart). CAPTCHA methods are mainly based on the weak points of OCR (Optical Character Recognition) systems while using them are undesirable to human users. In this paper a method has been presented for...