Hand Gesture Recognition Systems
Hand Gesture Recognition Systems is a research topic within Human-Computer Interaction. Science Explorer counts 24k research works in it since 1950. 15.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the research and development of gesture recognition systems, particularly in the context of human-computer interaction. The topics covered include hand gesture recognition, sign language recognition, depth sensor technology (e.g., Kinect), neural networks, real-time tracking, deep learning, and continuous recognition.
- Gesture Recognition
- Human-Computer Interaction
- Hand Gesture
- Sign Language
- Depth Sensor
- Kinect Sensor
- Neural Networks
- Real-time Tracking
- Deep Learning
- Continuous Recognition
- Research works
- 24k fractional, since 1950
- In the world top 10%
- 3.6k per year above
- Top-10% rate
- 15.1% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +39% the tick is no change
Which countries lead Hand Gesture Recognition Systems research?
By volume, China and India publish the most (2.1k and 1.5k works in 2022–2025).
By volume, 2022–2025
- 1 China 2.1k works
- 2 India 1.5k works
- 3 United States 538 works
- 4 Japan 359 works
- 5 Indonesia 211 works
- 6 South Korea 186 works
- 7 Germany 174 works
- 8 United Kingdom 155 works
- 9 ?? 119 works
- 10 Italy 115 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Hand Gesture Recognition Systems research?
By volume in 2022–2025, SRM Institute of Science and Technology publishes the most Hand Gesture Recognition Systems research, followed by Amrita Vishwa Vidyapeetham and Vellore Institute of Technology University.
By volume, 2022–2025
- 1 SRM Institute of Science and TechnologyIndia 65 works
- 2 Amrita Vishwa VidyapeethamIndia 51 works
- 3 Vellore Institute of Technology UniversityIndia 44 works
- 4 Shanghai Jiao Tong UniversityChina 39 works
- 5 Saveetha UniversityIndia 37 works
- 6 Tsinghua UniversityChina 30 works
- 7 University of Science and Technology of ChinaChina 30 works
- 8 Zhejiang UniversityChina 29 works
- 9 South China University of TechnologyChina 29 works
- 10 Beihang UniversityChina 28 works
Who are the leading researchers in Hand Gesture Recognition Systems?
The most-cited researchers publishing on Hand Gesture Recognition Systems include Andrew Zisserman, Xiaogang Wang and Jitendra Malik.
- 1 Andrew Zisserman United Kingdom 25k citations
- 2 Xiaogang Wang Russia 13k citations
- 3 Jitendra Malik United States 12k citations
- 4 Luc Van Gool Switzerland 8.5k citations
- 5 Seyedali Mirjalili Australia 7.6k citations
- 6 Thomas S. Huang United States 7.4k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Hand Gesture Recognition Systems research done?
The largest centres of Hand Gesture Recognition Systems research in 2022–2025 are Beijing (China), Chennai (India), Shanghai (China) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Srivilliputhur, Pulchowk and Coimbatore.
Largest cities, 2022–2025
Where it is the local speciality
- SrivilliputhurIN · 20.3 works18×
- PulchowkNP · 21.7 works16×
- CoimbatoreIN · 95.7 works7.7×
Location quotient: how much more of its research is in Hand Gesture Recognition Systems than the world average.
Where is the best place to study Hand Gesture Recognition Systems?
Among universities, judged by research, University of Aizu, Amrita Vishwa Vidyapeetham and Institute of Engineering score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | University of AizuJapan | 67.7 | 43.9% | 43.7× | 13 | +1.0% |
| 2 | Amrita Vishwa VidyapeethamIndia | 64.9 | 17.1% | 13.2× | 51 | +102.9% |
| 3 | Institute of EngineeringNepal | 57.5 | 1.5% | 15.6× | 22 | +338.8% |
| 4 | Rochester Institute of TechnologyUnited States | 57.4 | 30.8% | 10.5× | 9 | +74.8% |
| 5 | National Institute Of Technology SilcharIndia | 57.1 | 29.4% | 11.4× | 14 | — |
| 6 | Multimedia UniversityMalaysia | 56.3 | 30.0% | 9.6× | 9 | +60.5% |
| 7 | SRM Institute of Science and TechnologyIndia | 56.1 | 5.3% | 10.6× | 65 | — |
| 8 | Beijing University of Posts and TelecommunicationsChina | 53.3 | 19.5% | 5.6× | 25 | +345.4% |
| 9 | Sathyabama Institute of Science and TechnologyIndia | 53.3 | 7.1% | 11.5× | 18 | +185.2% |
| 10 | Vellore Institute of Technology UniversityIndia | 53.2 | 9.0% | 6.1× | 44 | +254.3% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Hand Gesture Recognition Systems research growing?
Output in 2018–2022 was 39% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Hand Gesture Recognition Systems.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.