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Topic · Human-Computer Interaction

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. 9.9% 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%
2.4k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+61%
the tick is no change
Largest producer
China
38% of the 10 largest, 2022-now
Hand Gesture Recognition Systems

Which countries lead Hand Gesture Recognition Systems research?

By volume, China and India publish the most (2.3k and 1.7k works in 2022-now).

By volume, 2022-now

  1. 1 China 2.3k works
  2. 2 India 1.7k works
  3. 3 United States 625 works
  4. 4 Japan 379 works
  5. 5 Indonesia 234 works
  6. 6 South Korea 202 works
  7. 7 Germany 190 works
  8. 8 United Kingdom 171 works
  9. 9 ?? 128 works
  10. 10 Italy 125 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.

China: 38.2%India: 28.2%United States: 10.2%Japan: 6.2%6 others listed: 17.2%38%largest
China2,333 · 38.2%India1,724 · 28.2%United States625 · 10.2%Japan379 · 6.2%6 others listed1,050 · 17.2%

Shares of the rows listed above, not of the whole node.

Which institutions lead Hand Gesture Recognition Systems research?

By volume in 2022-now, SRM Institute of Science and Technology publishes the most Hand Gesture Recognition Systems research, followed by Chinese Academy of Sciences and Amrita Vishwa Vidyapeetham.

By volume, 2022-now

  1. 1 SRM Institute of Science and TechnologyIndia 81 works
  2. 2 Chinese Academy of SciencesChina 80 works
  3. 3 Amrita Vishwa VidyapeethamIndia 58 works
  4. 4 Vellore Institute of Technology UniversityIndia 48 works
  5. 5 Shanghai Jiao Tong UniversityChina 44 works
  6. 6 Savitribai Phule Pune UniversityIndia 41 works
  7. 7 Saveetha UniversityIndia 39 works
  8. 8 Tsinghua UniversityChina 34 works
  9. 9 Zhejiang UniversityChina 33 works
  10. 10 Tribhuvan UniversityNepal 32 works

Who are the leading researchers in Hand Gesture Recognition Systems?

The most-cited researchers publishing on Hand Gesture Recognition Systems include Zhong Lin Wang, Yoshua Bengio and Geoffrey E. Hinton.

  1. 1 Zhong Lin Wang United States 491k citations
  2. 2 Yoshua Bengio Canada 476k citations
  3. 3 Geoffrey E. Hinton Canada 454k citations
  4. 4 Dan J. Stein South Africa 306k citations
  5. 5 Mark A. Bradford United States 268k citations
  6. 6 Xiaogang Wang China 260k citations
  7. 7 Yann LeCun United States 256k citations
  8. 8 Andrew Zisserman United Kingdom 255k citations
  9. 9 Li Fei-Fei United States 225k citations
  10. 10 Kai You Wang China 224k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Hand Gesture Recognition Systems?

The most cited paper in Hand Gesture Recognition Systems is "Stacked Hourglass Networks for Human Pose Estimation" (Alejandro Newell, Kaiyu Yang, Jia Hao Deng, 2016), with 5,296 citations. Next come "Pfinder: real-time tracking of the human body" (4,175) and "Impedance Control: An Approach to Manipulation: Part I—Theory" (3,669).

Most cited papers
#PaperReleasedCitations
1 Stacked Hourglass Networks for Human Pose Estimation Alejandro Newell, Kaiyu Yang, Jia Hao Deng · Lecture notes in computer science Conference paper 2016 5,296
2 Pfinder: real-time tracking of the human body Christopher R. Wren, Ali J. Azarbayejani, Trevor J. Darrell et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence Jul 1997 4,175
3 Impedance Control: An Approach to Manipulation: Part I—Theory Neville Hogan · Journal of Dynamic Systems Measurement and Control Mar 1985 3,669
4 DeepPose: Human Pose Estimation via Deep Neural Networks Alexander Toshev, Christian Szegedy Conference paperOpen access Jun 2014 3,331
5 Microsoft Kinect Sensor and Its Effect Zhengyou Zhang · IEEE Multimedia Feb 2012 2,523
All 100 most cited papers, with filters and sorting

Where is Hand Gesture Recognition Systems research done?

The largest centres of Hand Gesture Recognition Systems research in 2022-now 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 and Pulchowk.

Largest cities, 2022-now

  1. 1 BeijingChina 394 works
  2. 2 ChennaiIndia 241 works
  3. 3 ShanghaiChina 164 works
  4. 4 TokyoJapan 142 works
  5. 5 Xi'anChina 123 works
  6. 6 PuneIndia 116 works
  7. 7 BengaluruIndia 112 works
  8. 8 NanjingChina 111 works
  9. 9 CoimbatoreIndia 110 works
  10. 10 GuangzhouChina 105 works

Where it is the local speciality

  1. SrivilliputhurIN · 21.7 works17×
  2. PulchowkNP · 24.9 works15×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Hand Gesture Recognition Systems than the world average.

See Hand Gesture Recognition Systems on the map

Where is the best place to study Hand Gesture Recognition Systems?

Among universities, judged by research, University of Science and Technology of China, University of Aizu and Southern University of Science and Technology 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.

0%20%40%mean 25.35%fractional works in this field (log) →share of work in the world top 10% →Southern University …University of AizuHong Kong University…University of Scienc…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1University of Science and Technology of ChinaChina 64.525.8%3.8×32 +43.3%
2University of AizuJapan 62.934.9%45.5×14 +90.0%
3Southern University of Science and TechnologyChina 61.435.4%2.5×10 +399.8%
4Hong Kong University of Science and TechnologyChina 60.028.5%3.6×11 +277.0%
5University of WollongongAustralia 58.427.4%6.6×14 +297.9%
6Carnegie Mellon UniversityUnited States 57.527.2%4.7×14 +22.3%
7Hong Kong Polytechnic UniversityChina 57.427.1%2.3×14 +90.8%
8Tsinghua UniversityChina 56.821.9%2.1×34 +31.0%
9Amrita Vishwa VidyapeethamIndia 56.78.3%15.4×58 +255.9%
10Shanghai Jiao Tong UniversityChina 55.417.0%2.1×44 +19.4%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Hand Gesture Recognition Systems, country by country

Is Hand Gesture Recognition Systems research growing?

Output in 2022-2025 was 61% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Hand Gesture Recognition Systems.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Hand Gesture Recognition Systems as a percentage of every work published that year, 0.039% in 2024.

still counting0.020%0.040%Hand Gesture Recognition Systems0.037% in 202519801990200020102020

Fractional works of Hand Gesture Recognition Systems over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Hand Gesture Recognition Systems9.8% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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