If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Yuji Ohgi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Sensors Engineering & Materials Science
Kinematics Engineering & Materials Science
Angle of attack Engineering & Materials Science
Sports Engineering & Materials Science
Aerodynamics Engineering & Materials Science
Ski jumps Engineering & Materials Science
High speed cameras Engineering & Materials Science
Health Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2002 2019

  • 182 Citations
  • 7 h-Index
  • 23 Conference contribution
  • 13 Article
  • 2 Chapter
1 Citation (Scopus)

Prediction of Physical Activity Intensity with Accelerometry in Young Children

Tanaka, C., Hikihara, Y., Ando, T., Oshima, Y., Usui, C., Ohgi, Y., Kaneda, K. & Tanaka, S., 2019 Mar 15, In : International journal of environmental research and public health. 16, 6

Research output: Contribution to journalArticle

Open Access
Accelerometry
Exercise
Linear Models
Indirect Calorimetry
Energy Metabolism
4 Citations (Scopus)

Assessing motion style errors in Ski jumping using inertial sensor devices

Brock, H. & Ohgi, Y., 2017 Jun 15, In : IEEE Sensors Journal. 17, 12, p. 3794-3804 11 p., 7913696.

Research output: Contribution to journalArticle

skis
sensors
Sensors
sensorimotor performance
Ski jumps
4 Citations (Scopus)
Ski jumps
Kinematics
Magnetic fields
Sensors
Processing
2 Citations (Scopus)

Learning to judge like a human: Convolutional networks for classification of ski jumping errors

Brock, H., Ohgi, Y. & Lee, J., 2017 Sep 11, ISWC 2017 - Proceedings of the 2017 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Vol. Part F130534. p. 106-113 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ski jumps
Sensors
Hidden Markov models
Sports
Support vector machines

An intelligent system for motor style assessment and training from inertial sensor data in intermediate level Ski jumping

Brock, H. & Ohgi, Y., 2016, icSPORTS 2016 - Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support. SciTePress, p. 101-108 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Intelligent systems
Feedback
Ski jumps
Sensors
Kinematics