Paper Citation Record · LEDGER

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.06624.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.06624 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:56:12.634857Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact1
verified fuzzy13
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21d498a0-272d-4015-8f2b-84103343b4b9 · outbound

This paper cites A review on appli- cations of activity recognition systems with regard to performance and evaluation,.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG A review on appli- cations of activity recognition systems with regard to performance and evaluation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:12.799463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a5938f0b-acc5-43cb-ab72-c7caee83a82f · outbound

This paper cites Human daily activity recognition for healthcare using wearable and visual sensing data,.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG Human daily activity recognition for healthcare using wearable and visual sensing data,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:12.790267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd05d3a6-fb28-4041-9e95-d7139d02cd5a · outbound

This paper cites A survey on human activity recognition using wearable sensors,.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG A survey on human activity recognition using wearable sensors,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:12.780960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87012ef8-97c3-4382-b8c5-b36e8fd9c209 · outbound

This paper cites V oting-based 1d cnn model for human lower limb activity recognition using semg signal,.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG V oting-based 1d cnn model for human lower limb activity recognition using semg signal,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:12.771618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d383c739-e475-472e-ba29-23262a929ecf · outbound

This paper cites Human lower limb activity recognition techniques, databases, challenges and its applications using semg signal: an overview,.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG Human lower limb activity recognition techniques, databases, challenges and its applications using semg signal: an overview,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:12.761310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d223640-2a3d-48e0-b923-9e3f14a7ee95 · outbound

This paper cites Classification of lower limb electromyographical signals based on autoencoder deep neural network transfer learning,.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG Classification of lower limb electromyographical signals based on autoencoder deep neural network transfer learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:12.751246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51201f97-8293-427b-aa9c-837132608242 · outbound

This paper cites Biological cybernetics neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position,.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG Biological cybernetics neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:12.741411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a79c6e53-32b9-45bc-b828-9c7a4179dbfe · outbound

This paper cites Myonet: A transfer-learning-based lrcn for lower limb movement recognition and knee joint angle prediction for remote monitoring of rehabilitation progress from semg,.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG Myonet: A transfer-learning-based lrcn for lower limb movement recognition and knee joint angle prediction for remote monitoring of rehabilitation progress from semg,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:12.731271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 147e7eab-88a9-4910-b8c9-fbd527664d49 · outbound

This paper cites Long short-term memory,.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG Long short-term memory,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:12.720202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd0c751a-0ef5-4195-97dc-8a9a0428eb65 · outbound

This paper cites Deep belief networks for phone recognition,.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG Deep belief networks for phone recognition,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:12.709536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ca629a7-e8ae-4c50-abe5-4b0981f03e17 · outbound

This paper cites Attention is all you need,.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG Attention is all you need,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:12.698287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 26dc2042-0d6d-4603-b3c8-2c1ba109b410 · outbound

This paper cites EMG dataset in Lower Limb.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG EMG dataset in Lower Limb

Reference 12

Resolution: verified exact; doi, observed 2026-08-07T05:56:12.664745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b21190cd-9ef5-4c44-b3d3-0504847c86d4 · outbound

This paper cites A deep learn- ing strategy for emg-based joint position prediction in hip exoskeleton assistive robots,.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG A deep learn- ing strategy for emg-based joint position prediction in hip exoskeleton assistive robots,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:12.687703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2630b5d5-98f7-4b9a-adb7-1f05139f1fbe · outbound

This paper cites Deep ensemble learning approach for lower limb movement recognition from multichannel semg signals,.

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG Deep ensemble learning approach for lower limb movement recognition from multichannel semg signals,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:12.676911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.