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Muscle-Guided Latent Representation Distillation for Robust Spinal-Based Motor Intention Decoding

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dc.contributor.advisor 최지웅 -
dc.contributor.author Chanyu Moon -
dc.date.accessioned 2026-09-01T19:33:53Z -
dc.date.available 2026-09-01T19:33:53Z -
dc.date.issued 2026 -
dc.identifier.uri https://scholar.dgist.ac.kr/handle/20.500.11750/60828 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200001006867 -
dc.description Brain-Machine Interface （BMI）, Electrospinogram （ESG）, Cross-Modal Learning, Contrastive Learning, Motor Intention Decoding. -
dc.description.tableofcontents 1. Introduction 1
2. Background and Related Works 4
2.1 Neural Basis of Motor Control 4
2.2 Biosignal Modalities for Motor Intention Decoding 5
2.2.1 Peripheral Signal （EMG） 5
2.2.2 Cortical Signals （EEG and ECoG） 6
2.2.3 Spinal Signal （ESG） 7
2.3 Challenges in ESG-based Decoding 7
3. Methods and Materials 10
3.1 Problem Definition 10
3.2 Framework Overview 11
3.2.1 Encoder 12
3.2.2 Decoder 12
3.3 Cross-Modal Supervision Methods 12
3.3.1 Latent-level Methods 14
3.3.2 Output-level Methods 17
3.4 Single-Modality Methods 18
3.5 Dataset 19
3.6 Experimental Setup 20
3.7 Evaluation Metrics 20
3.7.1 Mean Squared Error （MSE） 20
3.7.2 Mean Absolute Error （MAE） 21
3.7.3 R2 （Coefficient of Determination） 21
3.7.4 Spearman Correlation 21
3.8 Implementation Details 22
4. Results 23
4.1 Single Modality Baseline 23
4.2 Comparison of Cross-Modal Supervision Methods 24
5. Conclusion 29
5.1 Summary 29
5.2 Discussion 29
5.2.1 Effectiveness of Contrastive Alignment 29
5.2.2 Limitations of Direct Latent Matching 30
5.2.3 Limitations of Output-Level Supervision 31
5.2.4 Remaining Performance Gap with EMG 32
5.2.5 Limitations and Future Work 32		 -
dc.format.extent 39 -
dc.language eng -
dc.publisher DGIST -
dc.title Muscle-Guided Latent Representation Distillation for Robust Spinal-Based Motor Intention Decoding -
dc.title.alternative 근육 유도 잠재 표현 증류를 통한 견고한 척추 기반 운동 의도 디코딩 -
dc.type Thesis -
dc.identifier.doi 10.22677/THESIS.200001006867 -
dc.description.degree Master -
dc.contributor.department Artificial Intelligence Major -
dc.date.awarded 2026-08-01 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.AM 문82 202608 -
dc.date.accepted 2026-07-21 -
dc.contributor.alternativeDepartment 학제학과인공지능전공 -
dc.subject.keyword Brain-Machine Interface （BMI）, Electrospinogram （ESG）, Cross-Modal Learning, Contrastive Learning, Motor Intention Decoding. -
dc.contributor.affiliatedAuthor Chanyu Moon -
dc.contributor.affiliatedAuthor Ji-Woong Choi -
dc.contributor.alternativeName 문찬유 -
dc.contributor.alternativeName Ji-Woong Choi -
dc.rights.embargoReleaseDate 2028-08-31 -
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