H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 35 Citations 7,249 89 World Ranking 5832 National Ranking 45

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Computer network

His main research concerns Artificial intelligence, Terminal, Mobile device, Gesture recognition and Gesture. The various areas that Jani Mäntyjärvi examines in his Artificial intelligence study include Machine learning, Wearable computer and Computer vision. His Computer vision research focuses on Pattern recognition and how it connects with Signal processing and Signal.

His Terminal study which covers Human–computer interaction that intersects with Database. His work carried out in the field of Mobile device brings together such families of science as Modality and Mobile computing. His research investigates the connection between Gesture recognition and topics such as Speech recognition that intersect with issues in Control system.

His most cited work include:

  • Activity classification using realistic data from wearable sensors (669 citations)
  • Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions (574 citations)
  • Managing context information in mobile devices (423 citations)

What are the main themes of his work throughout his whole career to date?

Jani Mäntyjärvi mostly deals with Mobile device, Human–computer interaction, Multimedia, Artificial intelligence and Mobile computing. His research in Mobile device intersects with topics in Ubiquitous computing, Terminal, User experience design, Computer network and Gesture. His Human–computer interaction research is multidisciplinary, incorporating perspectives in End-user development and Collaborative software.

His study looks at the intersection of Multimedia and topics like Mobile search with Mobile phone. His studies deal with areas such as Machine learning, Computer vision and Pattern recognition as well as Artificial intelligence. In general Mobile computing study, his work on Mobile Web and Mobile interaction often relates to the realm of Context awareness, thereby connecting several areas of interest.

He most often published in these fields:

  • Mobile device (33.33%)
  • Human–computer interaction (26.02%)
  • Multimedia (21.14%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (20.33%)
  • Machine learning (8.13%)
  • Pattern recognition (6.50%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Artificial intelligence, Machine learning, Pattern recognition, Real-time computing and Usage data. His study brings together the fields of State and Artificial intelligence. His study in the field of Activity recognition is also linked to topics like Population, Rowing and Graph.

His studies in Usage data integrate themes in fields like Mobile computing and Personalization. In his study, Human–computer interaction is strongly linked to Basis, which falls under the umbrella field of Mobile computing. As a part of the same scientific study, Jani Mäntyjärvi usually deals with the Human–computer interaction, concentrating on Computer security and frequently concerns with Computer network.

Between 2015 and 2021, his most popular works were:

  • Unobtrusive stress detection on the basis of smartphone usage data (15 citations)
  • Method and system for autonomous vehicle sensor assisted selection of route with respect to dynamic route conditions (11 citations)
  • Method for providing vulnerable road user warnings in a blind spot of a parked vehicle (9 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • The Internet
  • Computer network

Jani Mäntyjärvi mainly focuses on Pedestrian, Machine learning, Artificial intelligence, Unsupervised learning and Hidden Markov model. Combining a variety of fields, including Pedestrian, Trajectory, Blind spot, Real-time computing, Moving vehicle and Road user, are what the author presents in his essays. Jani Mäntyjärvi interconnects Usage data, Mobile computing, Adaptation and Personalization in the investigation of issues within Machine learning.

He combines topics linked to Algorithm with his work on Artificial intelligence. His study in Unsupervised learning is interdisciplinary in nature, drawing from both End user and Decision rule.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Activity classification using realistic data from wearable sensors

J. Parkka;M. Ermes;P. Korpipaa;J. Mantyjarvi.
international conference of the ieee engineering in medicine and biology society (2006)

928 Citations

Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions

M. Ermes;J. Parkka;J. Mantyjarvi;I. Korhonen.
international conference of the ieee engineering in medicine and biology society (2008)

860 Citations

Managing context information in mobile devices

P. Korpipaa;J. Mantyjarvi;J. Kela;H. Keranen.
IEEE Pervasive Computing (2003)

643 Citations

Identifying users of portable devices from gait pattern with accelerometers

J. Mantyjarvi;M. Lindholm;E. Vildjiounaite;S.-M. Makela.
international conference on acoustics, speech, and signal processing (2005)

506 Citations

Recognizing human motion with multiple acceleration sensors

J. Mantyjarvi;J. Himberg;T. Seppanen.
systems man and cybernetics (2001)

465 Citations

Accelerometer-based gesture control for a design environment

Juha Kela;Panu Korpipää;Jani Mäntyjärvi;Sanna Kallio.
ubiquitous computing (2006)

413 Citations

Identifying people from gait pattern with accelerometers

Heikki J. Ailisto;Mikko Lindholm;Jani Mantyjarvi;Elena Vildjiounaite.
Biometric technology for human identification. Conference (2005)

245 Citations

Enabling fast and effortless customisation in accelerometer based gesture interaction

Jani Mäntyjärvi;Juha Kela;Panu Korpipää;Sanna Kallio.
mobile and ubiquitous multimedia (2004)

203 Citations

Gesture control system

Juha Kela;Panu Korpipaa;Jani Mantyjarvi;Heikki Keranen.
(2005)

196 Citations

An ontology for mobile device sensor-based context awareness

Panu Korpipää;Jani Mäntyjärvi.
Contexts (2003)

172 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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