Juha Pärkkä
Computer Vision and Pattern Recognition · 2006–2008
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it; #8,638 of 21,575 by trust here, #7,176 by citations
Whom Juha Pärkkä trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Juha Pärkkä overall
- Kerem Altun
- Stephen J. Preece
- Billur Barshan
- Yu Zheng
- John Yannis Goulermas
- Leon Stenneth
- Alan Godfrey
- Zhihua Wang
- Xu Sun
- Saisakul Chernbumroong
Papers from Juha Pärkkä's perspective
Ordered by how strongly the researchers Juha Pärkkä trusts endorse each paper. Same corpus, a different order for every researcher.
- Activity and Location Recognition Using Wearable Sensors (IEEE pervasive computing)
- Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement (Physiological Measurement)
- Capturing human motion using body‐fixed sensors: outdoor measurement and clinical applications (Comput. Animat. Virtual Worlds)
- A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications (Hum. Comput. Interact.)
- Context is key (CACM)
- Walking compared with vigorous exercise for the prevention of cardiovascular events in women. (New England Journal of Medicine)
- Recognizing human motion with multiple acceleration sensors (2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236))
- Validity and Reliability of the Experience‐Sampling Method
- Measuring daily behavior using ambulatory accelerometry: The Activity Monitor (Behavoir research methods, instruments & computers)
- Multi-sensor Activity Context Detection for Wearable Computing (EUSAI)
Their papers
- Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions (2008) — 770 citations
- Activity classification using realistic data from wearable sensors (2006) — 839 citations