Patrick Langer
Patrick Langer
Home
Projects
Research
Contact
Machine Learning
FPGA-Based Realtime Detection of Freezing of Gait in Parkinson Patients Using Neural Networks
In this paper we report on our implementation of a temporal convolutional network trained to detect Freezing of Gait on an FPGA. In …
Patrick Langer
,
Ali Haddadi Esfahani
,
Zoya Dyka
,
Peter Langendörfer
PDF
Cite
Project
DOI
FPGA-Based Realtime Detection of Freezing of Gait in Parkinson Patients Using Neural Networks
Trained and implemented Temporal Convolutional Neural Networks (TCNs) for detecting Freezing of Gait. Deployed the neural networks on FPGAs using VitisAI, adhering to strict realtime requirements.
Paper
Acceleration of CNNs for Person Detection in Autonomous Driving using FPGA's and SIMD
Implemented a hardware accelerator for Convolutional Neural Networks for person detection on FPGAs using HLS. Implemented highly optimized pre- and postprocesing of images using SIMD on a microcontroller.
Outperformed previous results by 5x (1040ms to 195ms per frame)
.
Efficient Semantic 3D Mapping for Indoor Environments
Implementation of a realtime-capable 3D semantic mapping framework based on Normal Distribution Transform (NDT) and semantic histogram maps. Mapping leverages hardware acceleration on embedded devices using TensorRT.
Signapse - Realtime Road Sign Recognition on Smartphones
A realtime road sign recognition App for smartphones incorporating object detection and classification (SSDLite, MobileNet), optionally using hardware acceleration (CoreML, TensorFlow). Currently standing at
5000+ downloads
.
Code
Website
App
Biopotential based Human-Machine-Interaction
Designed and built (PCB, soldering, programming) from the ground up a device capable to record and analyze biosignals via electromyografie using electrodes. Allows to play games and write texts. Presented at the Jugend forscht national finals 2016.
«
Cite
×