What is he best known for?
The fields of study he is best known for:
- Law
- Artificial intelligence
- The Internet
His primary areas of study are Human–computer interaction, Public relations, Artificial intelligence, Activity recognition and Participatory design.
His Human–computer interaction research incorporates elements of Citizen journalism, Participatory media, Password, Control and Mobile device.
He has researched Public relations in several fields, including Situated, Voting, Empowerment, Criticism and Democracy.
The study incorporates disciplines such as Machine learning, Wearable computer and Computer vision in addition to Artificial intelligence.
His Activity recognition research includes elements of Explicit knowledge, Ubiquitous computing, Multimedia, Set and Feature extraction.
His Participatory design research integrates issues from Payment, Payment service provider, Applied psychology and Cheque.
His most cited work include:
- Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor (358 citations)
- Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson’s disease (345 citations)
- Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study. (313 citations)
What are the main themes of his work throughout his whole career to date?
Patrick Olivier mostly deals with Human–computer interaction, Multimedia, Artificial intelligence, Public relations and Context.
His studies deal with areas such as Citizen journalism, Visualization and Set as well as Human–computer interaction.
His research ties Computer vision and Artificial intelligence together.
His Ubiquitous computing study frequently draws parallels with other fields, such as Activity recognition.
He most often published in these fields:
- Human–computer interaction (26.51%)
- Multimedia (11.42%)
- Artificial intelligence (10.78%)
What were the highlights of his more recent work (between 2016-2021)?
- Public relations (8.84%)
- Human–computer interaction (26.51%)
- Process (5.82%)
In recent papers he was focusing on the following fields of study:
Patrick Olivier mainly investigates Public relations, Human–computer interaction, Process, Physical therapy and Knowledge management.
His study in Public relations is interdisciplinary in nature, drawing from both Service, Refugee, Anonymity, Good citizenship and Democracy.
The concepts of his Human–computer interaction study are interwoven with issues in Reflection, Eye tracking and Field.
His Physical therapy research is multidisciplinary, incorporating perspectives in Psychological intervention, Reliability and Randomized controlled trial.
His research in Reliability intersects with topics in Repeatability and Repeated measures design.
His research integrates issues of Citizen journalism and Software deployment in his study of Knowledge management.
Between 2016 and 2021, his most popular works were:
- Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study. (313 citations)
- Recommender system based on pairwise association rules (42 citations)
- Iterative Development of an Online Dietary Recall Tool: INTAKE24 (29 citations)
In his most recent research, the most cited papers focused on:
- Law
- Artificial intelligence
- The Internet
His primary areas of investigation include Public relations, Human–computer interaction, Physical therapy, Process and Politics.
His Public relations study integrates concerns from other disciplines, such as Externalization, Data quality, Affordance and Service.
His work carried out in the field of Human–computer interaction brings together such families of science as Organic user interface, Architecture and E-textiles.
His Physical therapy study incorporates themes from Reliability, Repeatability and Repeated measures design.
His Process research is multidisciplinary, relying on both Building management, Intervention, Objectivity, Iterative and incremental development and Setpoint.
His biological study spans a wide range of topics, including Citizen journalism, Context, Sociotechnical system and Public service.
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.
