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Valters Abolins
Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia

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Review
Published: 13 July 2021 in Journal of Sensor and Actuator Networks
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Smart manufacturing and smart factories depend on automation and robotics, whereas human–robot collaboration (HRC) contributes to increasing the effectiveness and productivity of today’s and future factories. Industrial robots especially in HRC settings can be hazardous if safety is not addressed properly. In this review, we look at the collaboration levels of HRC and what safety actions have been used to address safety. One hundred and ninety-three articles were identified from which, after screening and eligibility stages, 46 articles were used for the extraction stage. Predefined parameters such as: devices, algorithms, collaboration level, safety action, and standards used for HRC were extracted. Despite close human and robot collaboration, 25% of all reviewed studies did not use any safety actions, and more than 50% did not use any standard to address safety issues. This review shows HRC trends and what kind of functionalities are lacking in today’s HRC systems. HRC systems can be a tremendously complex process; therefore, proper safety mechanisms must be addressed at an early stage of development.

ACS Style

Janis Arents; Valters Abolins; Janis Judvaitis; Oskars Vismanis; Aly Oraby; Kaspars Ozols. Human–Robot Collaboration Trends and Safety Aspects: A Systematic Review. Journal of Sensor and Actuator Networks 2021, 10, 48 .

AMA Style

Janis Arents, Valters Abolins, Janis Judvaitis, Oskars Vismanis, Aly Oraby, Kaspars Ozols. Human–Robot Collaboration Trends and Safety Aspects: A Systematic Review. Journal of Sensor and Actuator Networks. 2021; 10 (3):48.

Chicago/Turabian Style

Janis Arents; Valters Abolins; Janis Judvaitis; Oskars Vismanis; Aly Oraby; Kaspars Ozols. 2021. "Human–Robot Collaboration Trends and Safety Aspects: A Systematic Review." Journal of Sensor and Actuator Networks 10, no. 3: 48.

Review
Published: 31 December 2020 in Education Sciences
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In this systematic umbrella review we aggregate the current knowledge of how virtual and augmented reality technologies are applicable to and impact remote learning in higher education; specifically, how they impact such learning outcomes as performance and engagement in all stages of higher education from course preparation to student evaluation and grading. This review was done as part of a state wide research effort of Latvia, to mitigate the impact of COVID-19 and specifically to provide a framework for a technological transformation of education in this context. In this work we search the Scopus and Web of Science databases for articles describing the use of virtual and/or augmented reality technologies in remote learning for higher education and their impact on learning outcomes. We identified 68 articles from which, after multiple screening and eligibility phases, nine review articles were left for extraction phase in which 30 structural elements with corresponding interventions and measured effects were extracted. Of these, 24 interventions had a measured effect on student performance (11 positive, seven negative, six no impact) and six interventions had a measured effect on student engagement (all six positive).

ACS Style

Krisjanis Nesenbergs; Valters Abolins; Juris Ormanis; Artis Mednis. Use of Augmented and Virtual Reality in Remote Higher Education: A Systematic Umbrella Review. Education Sciences 2020, 11, 8 .

AMA Style

Krisjanis Nesenbergs, Valters Abolins, Juris Ormanis, Artis Mednis. Use of Augmented and Virtual Reality in Remote Higher Education: A Systematic Umbrella Review. Education Sciences. 2020; 11 (1):8.

Chicago/Turabian Style

Krisjanis Nesenbergs; Valters Abolins; Juris Ormanis; Artis Mednis. 2020. "Use of Augmented and Virtual Reality in Remote Higher Education: A Systematic Umbrella Review." Education Sciences 11, no. 1: 8.

Data descriptor
Published: 30 September 2020 in Data
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Technologies, such as Wireless Sensor Networks (WSN) and Internet of Things (IoT), have captured the imagination of researchers, businesses, and general public, due to breakthroughs in embedded system development, sensing technologies, and ubiquitous connectivity in recent years. That resulted in the emergence of an enormous, difficult-to-navigate body of work related to WSN and IoT. In an ongoing research effort to highlight trends and developments in these technologies and to see whether they are actually deployed rather than subjects of theoretical research with presumed potential use cases, we gathered and codified a dataset of scientific publications from a five-year period from 2013 to 2017 involving actual sensor network deployments, which will serve as a basis for future in-depth analysis of the field. In the first iteration, 15,010 potentially relevant articles were identified in SCOPUS and Web of Science databases; after two iterations, 3059 actual sensor network deployments were extracted from those articles and classified in a consistent way according to different categories, such as type of nodes, field of application, communication types, etc. We publish the resulting dataset with the intent that its further analysis may identify prospective research fields and future trends in WSN and IoT.

ACS Style

Janis Judvaitis; Artis Mednis; Valters Abolins; Ansis Skadins; Didzis Lapsa; Raimonds Rava; Maksims Ivanovs; Krisjanis Nesenbergs. Classification of Actual Sensor Network Deployments in Research Studies from 2013 to 2017. Data 2020, 5, 93 .

AMA Style

Janis Judvaitis, Artis Mednis, Valters Abolins, Ansis Skadins, Didzis Lapsa, Raimonds Rava, Maksims Ivanovs, Krisjanis Nesenbergs. Classification of Actual Sensor Network Deployments in Research Studies from 2013 to 2017. Data. 2020; 5 (4):93.

Chicago/Turabian Style

Janis Judvaitis; Artis Mednis; Valters Abolins; Ansis Skadins; Didzis Lapsa; Raimonds Rava; Maksims Ivanovs; Krisjanis Nesenbergs. 2020. "Classification of Actual Sensor Network Deployments in Research Studies from 2013 to 2017." Data 5, no. 4: 93.

Preprint
Published: 21 August 2020
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Due to breakthroughs in embedded system development, sensing technologies, and ubiquitous connectivity in recent years, technologies such as Wireless Sensor Networks (WSN) and Internet of Things (IoT) have captured the imagination of researchers, businesses, and general public. That resulted in the emergence of an enormous, difficult-to-navigate body of work related to WSN and IoT. To highlight trends and developments in these technologies and to see whether they are actually deployed rather than subjects of theoretical research with presumed potential use cases, we gathered and codified a dataset of scientific publications from a 5-year period from 2013 to 2017 involving actual sensor network deployments. In the first iteration, 15010 potentially relevant articles were identified in SCOPUS and Web of Science databases; after two iterations, 3059 actual sensor network deployments were extracted from those articles and classified in a consistent way according to different categories such as type of nodes, field of application, communication types, etc. We publish the resulting dataset with the intent that its further analysis may identify prospective research fields and future trends in WSN and IoT.

ACS Style

Krisjanis Nesenbergs; Janis Judvaitis; Artis Mednis; Valters Abolins; Ansis Skadins; Didzis Lapsa; Raimonds Rava; Maksims Ivanovs. Classification of actual sensor network deployments in research studies from 2013 to 2017. 2020, 1 .

AMA Style

Krisjanis Nesenbergs, Janis Judvaitis, Artis Mednis, Valters Abolins, Ansis Skadins, Didzis Lapsa, Raimonds Rava, Maksims Ivanovs. Classification of actual sensor network deployments in research studies from 2013 to 2017. . 2020; ():1.

Chicago/Turabian Style

Krisjanis Nesenbergs; Janis Judvaitis; Artis Mednis; Valters Abolins; Ansis Skadins; Didzis Lapsa; Raimonds Rava; Maksims Ivanovs. 2020. "Classification of actual sensor network deployments in research studies from 2013 to 2017." , no. : 1.

Conference paper
Published: 01 October 2017 in IOP Conference Series: Materials Science and Engineering
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The aim of the study was to present a new DAid®Pressure Sock System for feet locomotion monitoring and to verify it's temporal characteristics by data comparison with the same obtained by two other widely used methods as reference. Designed system is based on sensors which can be knitted directly in the garment or hosiery items. DAid®Pressure Sock System was created for sport and medical applications. Comparison of temporal characteristics of different types of locomotion, obtained using designed system and reference devises, showed good agreement between data.

ACS Style

A Oks; A Katashev; E Bernans; V Abolins. A comparison of the accuracy of the smart sock system to force platform and optical system for measurement of temporal parameters of locomotion. IOP Conference Series: Materials Science and Engineering 2017, 254, 72017 .

AMA Style

A Oks, A Katashev, E Bernans, V Abolins. A comparison of the accuracy of the smart sock system to force platform and optical system for measurement of temporal parameters of locomotion. IOP Conference Series: Materials Science and Engineering. 2017; 254 ():72017.

Chicago/Turabian Style

A Oks; A Katashev; E Bernans; V Abolins. 2017. "A comparison of the accuracy of the smart sock system to force platform and optical system for measurement of temporal parameters of locomotion." IOP Conference Series: Materials Science and Engineering 254, no. : 72017.

Conference paper
Published: 15 June 2017 in ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference
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The aim of present study was to demonstrate usability of the recently developed “Smart Socks” System for analysis of locomotion temporal parameters. Smart socks system exploits pressure sensors which can be knitted directly in the garment, thus providing minimal discomfort for user. Two types of locomotion were analysed: walking and running. Experienced athletes took part in the experiment to perform movements in the controlled conditions in laboratory. The research demonstrated that temporal accuracy of Smart Sock system is acceptable for practical purposes. Data, provided by the system could distinguish heel strike and non-heel strike run and walk modes. More data is required for deeper analysis and interpretation of obtained temporal parameters and for development of recommendations for athletes and coaches.

ACS Style

Aleksandrs Oks; Aleksey Katashev; Edgars Bernans; Valters Abolins. SMART SOCKS SYSTEM AS AN EQUIPMENT TO ANALYZE TEMPORAL PARAMETERS OF HUMAN GAIT AND RUNNING. ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference 2017, 3, 238 .

AMA Style

Aleksandrs Oks, Aleksey Katashev, Edgars Bernans, Valters Abolins. SMART SOCKS SYSTEM AS AN EQUIPMENT TO ANALYZE TEMPORAL PARAMETERS OF HUMAN GAIT AND RUNNING. ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference. 2017; 3 ():238.

Chicago/Turabian Style

Aleksandrs Oks; Aleksey Katashev; Edgars Bernans; Valters Abolins. 2017. "SMART SOCKS SYSTEM AS AN EQUIPMENT TO ANALYZE TEMPORAL PARAMETERS OF HUMAN GAIT AND RUNNING." ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference 3, no. : 238.

Conference paper
Published: 01 January 2017 in Proceedings of the 9th International Conference on E-Education, E-Business, E-Management and E-Learning - IC4E '18
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ACS Style

Valters Abolins; Krisjanis Nesenbergs; Edgars Bernans. On improving gait analysis data. Proceedings of the 9th International Conference on E-Education, E-Business, E-Management and E-Learning - IC4E '18 2017, 215 -219.

AMA Style

Valters Abolins, Krisjanis Nesenbergs, Edgars Bernans. On improving gait analysis data. Proceedings of the 9th International Conference on E-Education, E-Business, E-Management and E-Learning - IC4E '18. 2017; ():215-219.

Chicago/Turabian Style

Valters Abolins; Krisjanis Nesenbergs; Edgars Bernans. 2017. "On improving gait analysis data." Proceedings of the 9th International Conference on E-Education, E-Business, E-Management and E-Learning - IC4E '18 , no. : 215-219.