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Hossein Shahverdi, Mohammad Nabati, Parisa Fard Moshiri, Reza Asvadi and Seyed Ali Ghorashi
Human Activity Recognition (HAR) has been a popular area of research in the Internet of Things (IoT) and Human?Computer Interaction (HCI) over the past decade. The objective of this field is to detect human activities through numeric or visual representa...
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Hayat Ullah and Arslan Munir
The recognition of human activities using vision-based techniques has become a crucial research field in video analytics. Over the last decade, there have been numerous advancements in deep learning algorithms aimed at accurately detecting complex human ...
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Yaxin Mao, Lamei Yan, Hongyu Guo, Yujie Hong, Xiaocheng Huang and Youwei Yuan
Inertial measurement unit (IMU) technology has gained popularity in human activity recognition (HAR) due to its ability to identify human activity by measuring acceleration, angular velocity, and magnetic flux in key body areas like the wrist and knee. I...
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Baha A. Alsaify, Mahmoud M. Almazari, Rami Alazrai, Sahel Alouneh and Mohammad I. Daoud
Passive human activity recognition (HAR) systems, in which no sensors are attached to the subject, provide great potentials compared to conventional systems. One of the recently used techniques showing tremendous potential is channel state information (C...
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Oscar Herrera-Alcántara
In this paper, fractional calculus principles are considered to implement fractional derivative gradient optimizers for the Tensorflow backend. The performance of these fractional derivative optimizers is compared with that of other well-known ones. Our ...
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Adebola Omolaja, Abayomi Otebolaku and Ali Alfoudi
Smart devices, such as smartphones, smartwatches, etc., are examples of promising platforms for automatic recognition of human activities. However, it is difficult to accurately monitor complex human activities on these platforms due to interclass patter...
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Ashwani Prasad, Amit Kumar Tyagi, Maha M. Althobaiti, Ahmed Almulihi, Romany F. Mansour and Ayman M. Mahmoud
Human Activity Recognition (HAR) has become an active field of research in the computer vision community. Recognizing the basic activities of human beings with the help of computers and mobile sensors can be beneficial for numerous real-life applications...
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Md. Khaliluzzaman, Md. Abu Bakar Siddiq Sayem, Lutful KaderMisbah
Pág. 357 - 376
Human Activity Recognition (HAR), a vast area of a computer vision research, has gained standings in recent years due to its applications in various fields. As human activity has diversification in action, interaction, and it embraces a large amount of d...
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Sameh Neili Boualia and Najoua Essoukri Ben Amara
Human Pose Estimation (HPE) is defined as the problem of human joints? localization (also known as keypoints: elbows, wrists, etc.) in images or videos. It is also defined as the search for a specific pose in space of all articulated joints. HPE has rece...
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Md. Khaliluzzaman, Md. Abu Bakar Siddiq Sayem, Lutful KaderMisbah
Pág. 357 - 376
Human Activity Recognition (HAR), a vast area of a computer vision research, has gained standings in recent years due to its applications in various fields. As human activity has diversification in action, interaction, and it embraces a large amount of d...
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Shaojun Liu, Ling Zhang, Yi Long, Yao Long and Mianhao Xu
A quantitative study of urban vitality brings new insights for evaluating the external construction environment and internal development power of cities. However, it still has limited knowledge of the relations between people?s diverse urban life and urb...
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Wafa Shuaieb, George Oguntala, Ali AlAbdullah, Huthaifa Obeidat, Rameez Asif, Raed A. Abd-Alhameed, Mohammed S. Bin-Melha and Chakib Kara-Zaïtri
Alternative healthcare solutions have been identified as a viable approach to ameliorate the increasing demand for telehealth and prompt healthcare delivery. Moreover, indoor ocalization using different technologies and approaches have greatly contribute...
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Davide Coluzzi, Massimo W. Rivolta, Alfonso Mastropietro, Simone Porcelli, Marco L. Mauri, Marta T. L. Civiello, Enrico Denna, Giovanna Rizzo and Roberto Sassi
Wearable sensors play a significant role for monitoring the functional ability of the elderly and in general, promoting active ageing. One of the relevant variables to be tracked is the number of stair steps (single stair steps) performed daily, which is...
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Liliana I. Carvalho and Rute C. Sofia
Mobile sensing has been gaining ground due to the increasing capabilities of mobile and personal devices that are carried around by citizens, giving access to a large variety of data and services based on the way humans interact. Mobile sensing brings se...
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Paulo J. S. Ferreira, João M. P. Cardoso and João Mendes-Moreira
The kNN machine learning method is widely used as a classifier in Human Activity Recognition (HAR) systems. Although the kNN algorithm works similarly both online and in offline mode, the use of all training instances is much more critical online than of...
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Shurui Fan, Yating Jia and Congyue Jia
The purpose of activity recognition is to identify activities through a series of observations of the experimenter?s behavior and the environmental conditions. In this study, through feature selection algorithms, we researched the effects of a large numb...
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Fernando Moya Rueda, René Grzeszick, Gernot A. Fink, Sascha Feldhorst and Michael Ten Hompel
Human activity recognition (HAR) is a classification task for recognizing human movements. Methods of HAR are of great interest as they have become tools for measuring occurrences and durations of human actions, which are the basis of smart assistive tec...
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Biying Fu, Florian Kirchbuchner, Arjan Kuijper, Andreas Braun and Dinesh Vaithyalingam Gangatharan
Quantified Self has seen an increased interest in recent years, with devices including smartwatches, smartphones, or other wearables that allow you to monitor your fitness level. This is often combined with mobile apps that use gamification aspects to mo...
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Wenbing Zhao, Qing Wu, Ann Reinthal and Nian Zhang
Lower back musculoskeletal disorders are pervasive in workplaces. In the United States alone, the total cost of such injuries exceed $100 billion a year. The lower-back injury rate in the healthcare sector is one of the highest among all industry sectors...
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Sebastian Böttcher, Philipp M. Scholl and Kristof Van Laerhoven
Authoring protocols for manual tasks such as following recipes, manufacturing processes or laboratory experiments requires significant effort. This paper presents a system that estimates individual procedure transitions from the user?s physical movement ...
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