LLAP
importedsoftware/llap
Device-Free Gesture Tracking Using Acoustic Signals, MobiCom 2016
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/Samsonsjarkal/LLAP
- Documentation
- unknown
- Tags
- gesture-recognition · mobicom · ultrasound · wireless
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Khmer-Sign-Language-Translation-Systemgesture-recognition
Khmer Sign Language Translation System using AI and computer vision to convert sign gestures into readable text and speech through a web-based platform.
- NeuralFlightgesture-recognition
Neural control framework for drones using motor imagery EEG classification. Achieves 73% cross-subject accuracy with PyTorch and enables hands-free drone control through imagined hand/feet movements.
- OpenMuscle-Softwaregesture-recognition
PC application for OpenMuscle: sensor capture, ML training and inference, FastAPI web UI, plus the embedded firmware workshop (MicroPython, ESP32-S3)
Python program to convert slices of 2D images to 3D structure
- 3D_RFUltrasound_Reconstructionultrasound
3D Volume Reconstruction of Raw Ultrasound Radiofrequency Data
- apecssultrasound
APECSS is a software toolbox to compute pressure-driven bubble dynamics and the resulting acoustic emissions.
- api.github.com/repos/Samsonsjarkal/LLAPretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2017-06-05, 114 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/52.json→ .entries["llap"]
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