Adaptive Gait Generation
Adaptive Gait Generation is a gait generation method that dynamically adjusts locomotion patterns in response to real-time environmental or physiological variations, thereby distinguishing itself from static or pre-programmed gait models through its capacity for online modification and context-aware adaptation.
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1.4K
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136
Authors
67
Institutions
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2017–2026
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GaitGCI: Generative Counterfactual Intervention for Gait Recognition
Huanzhang Dou, Pengyi Zhang, Wei Su et al. · 2023 · 64 citations
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University of Bradford
Bradford, United Kingdom
4 h-index
13 publications
441 citations

Brunel University of London
London, United Kingdom
3 h-index
7 publications
431 citations

Tohoku University
Sendai, Japan
2 h-index
7 publications
160 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
2 publications
85 citations

Fundação Armando Alvares Penteado
São Paulo, Brazil
2 h-index
2 publications
92 citations

Anglia Ruskin University
Cambridge, United Kingdom
2 h-index
2 publications
82 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
3 publications
68 citations
Kingston University
London, United Kingdom
1 h-index
3 publications
111 citations
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4 publications · 142 citations
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2 publications · 92 citations
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2 publications · 98 citations
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2 publications · 31 citations
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