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Topic · Biomedical Engineering

Gait Recognition and Analysis

Gait Recognition and Analysis is a research topic within Biomedical Engineering. Science Explorer counts 13k research works in it since 1958. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on gait recognition for human identification, utilizing techniques such as silhouette analysis, deep learning, and inertial sensors. It explores cross-view recognition and the use of wearable devices for biometric authentication, with applications in forensic biometrics.

  • Gait Recognition
  • Human Identification
  • Biometric Authentication
  • Silhouette Analysis
  • Deep Learning
  • Inertial Sensors
  • View Transformation Model
  • Cross-View Recognition
  • Wearable Devices
  • Forensic Biometrics
Research works
13k
fractional, since 1958
In the world top 10%
1.3k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+63%
the tick is no change
Largest producer
China
54% of the 10 largest, 2022-now
Gait Recognition and Analysis

Which countries lead Gait Recognition and Analysis research?

By volume, China and India publish the most (2.3k and 712 works in 2022-now).

By volume, 2022-now

  1. 1 China 2.3k works
  2. 2 India 712 works
  3. 3 United States 389 works
  4. 4 Japan 228 works
  5. 5 South Korea 165 works
  6. 6 United Kingdom 123 works
  7. 7 Germany 105 works
  8. 8 Italy 90 works
  9. 9 Canada 83 works
  10. 10 France 73 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: 53.6%India: 16.8%United States: 9.2%Japan: 5.4%6 others listed: 15.1%54%largest
China2,271 · 53.6%India712 · 16.8%United States389 · 9.2%Japan228 · 5.4%6 others listed639 · 15.1%

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

Which institutions lead Gait Recognition and Analysis research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Gait Recognition and Analysis research, followed by Beijing University of Posts and Telecommunications and SRM Institute of Science and Technology.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 77 works
  2. 2 Beijing University of Posts and TelecommunicationsChina 33 works
  3. 3 SRM Institute of Science and TechnologyIndia 33 works
  4. 4 University of Electronic Science and Technology of ChinaChina 33 works
  5. 5 Beijing Institute of TechnologyChina 32 works
  6. 6 Xidian UniversityChina 31 works
  7. 7 Sun Yat-sen UniversityChina 29 works
  8. 8 Tsinghua UniversityChina 27 works
  9. 9 Harbin Institute of TechnologyChina 27 works
  10. 10 Southeast UniversityChina 27 works

Who are the leading researchers in Gait Recognition and Analysis?

The most-cited researchers publishing on Gait Recognition and Analysis include Xiaogang Wang, Yann LeCun and Andrew Zisserman.

  1. 1 Xiaogang Wang China 260k citations
  2. 2 Yann LeCun United States 256k citations
  3. 3 Andrew Zisserman United Kingdom 255k citations
  4. 4 Li Fei-Fei United States 225k citations
  5. 5 Kai You Wang China 224k citations
  6. 6 Trevor J. Darrell United States 206k citations
  7. 7 Luc Van Gool Switzerland 177k 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 Gait Recognition and Analysis?

The most cited paper in Gait Recognition and Analysis is "Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly" (Maarit Kangas, Raija Korpelainen, Irene Vikman et al., 2014), with 18,953 citations. Next come "Domain-Adversarial Training of Neural Networks" (7,721) and "Deep High-Resolution Representation Learning for Human Pose Estimation" (5,840).

Most cited papers
#PaperReleasedCitations
1 Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly Maarit Kangas, Raija Korpelainen, Irene Vikman et al. · Gerontology 13 Aug 2014 18,953
2 Domain-Adversarial Training of Neural Networks Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan et al. · Advances in computer vision and pattern recognition Book chapter 2017 7,721
3 Deep High-Resolution Representation Learning for Human Pose Estimation Ke Sun, Bin Xiao, Dong Liu et al. Conference paper Jun 2019 5,840
4 Stacked Hourglass Networks for Human Pose Estimation Alejandro Newell, Kaiyu Yang, Jia Hao Deng · Lecture notes in computer science Conference paper 2016 5,296
5 Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition Sijie Yan, Yuanjun Xiong, Dahua Lin · Proceedings of the AAAI Conference on Artificial Intelligence Conference paperOpen access 27 Apr 2018 5,096
All 99 most cited papers, with filters and sorting

Where is Gait Recognition and Analysis research done?

The largest centres of Gait Recognition and Analysis research in 2022-now are Beijing (China), Nanjing (China), Xi'an (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Coimbatore.

Largest cities, 2022-now

  1. 1 BeijingChina 396 works
  2. 2 NanjingChina 140 works
  3. 3 Xi'anChina 136 works
  4. 4 ShanghaiChina 124 works
  5. 5 WuhanChina 103 works
  6. 6 GuangzhouChina 100 works
  7. 7 HangzhouChina 86 works
  8. 8 ChennaiIndia 83 works
  9. 9 ChengduChina 82 works
  10. 10 TokyoJapan 78 works

Where it is the local speciality

  1. CoimbatoreIN · 41.6 works4.5×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Gait Recognition and Analysis than the world average.

See Gait Recognition and Analysis on the map

Where is the best place to study Gait Recognition and Analysis?

Among universities, judged by research, Nanyang Technological University, Sun Yat-sen University and Peking University 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%10%20%30%mean 18.74%fractional works in this field (log) →share of work in the world top 10% →Air UniversityPeking UniversityNanyang Technologica…Sun Yat-sen University
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
1Nanyang Technological UniversitySingapore 74.623.4%4.9×18 +117.5%
2Sun Yat-sen UniversityChina 74.122.8%3.0×29 +58.2%
3Peking UniversityChina 68.125.1%2.1×20 +19.9%
4Air UniversityPakistan 67.125.5%31.0×8 +216.2%
5Xidian UniversityChina 66.814.5%9.2×31 +19.3%
6Southeast UniversityChina 65.617.4%3.9×27 +309.6%
7Nanjing University of Science and TechnologyChina 63.917.5%6.1×23 +78.5%
8Beijing University of Posts and TelecommunicationsChina 63.49.3%11.3×34 +27.4%
9University of Science and Technology of ChinaChina 62.613.8%4.5×24 +17.8%
10Harbin Institute of TechnologyChina 62.118.1%3.6×27 +106.1%

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 Gait Recognition and Analysis, country by country

Is Gait Recognition and Analysis research growing?

Output in 2022-2025 was 63% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Gait Recognition and Analysis.

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 Gait Recognition and Analysis as a percentage of every work published that year, 0.025% in 2024.

still counting0.010%0.020%0.030%Gait Recognition and Analysis0.026% in 202519801990200020102020

Fractional works of Gait Recognition and Analysis 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%Gait Recognition and Analysis9.8% 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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