Web1 Jan 2024 · Firstly, three information sources are collected as the HRC dataset: human body posture captured from cameras, hand motion captured by Leap Motion sensors, and voice command recorded by a microphone. Secondly, the deep learning algorithms are trained to understand and classify the above dataset. WebNinth Theme Issue on “Deep Learning for IoT Big Data and Streaming Analytics” - Call For Papers ... fire prediction, and driver/elderly posture (and thus consciousness and/or health condition) recognition that demand fast processing of incoming data and quick actions to achieve their target. ... Accurate recognition should be performed in ...
On-device, Real-time Body Pose Tracking with MediaPipe BlazePose
Web5 Dec 2024 · Deep Learning-Based Human Posture Recognition. Abstract: Human posture recognition using real-life images is a challenging task. In order to devise effective spatial-temporal representations, we propose a hybrid model by integrating object detection, … WebData scientist (PhD in Machine Learning) with 12+ years of cross-disciplinary experience in the areas of technology, research, teaching and consultancy. I have broad experience in developing solutions to deal with machine learning problems in diverse technological areas, ranging from the connected car to wearable devices. My work … the unlucky winners by nicky johnson
Fatigue Driving Recognition Based on Deep Learning
Web3 Sep 2024 · These solutions can be classified according to different aspects such as space (2D and 3D), sensing-modalities, pipelines (single-person and multi-person), learning … Web5 Sep 2024 · In simple words, Posenet is a deep learning TensorFlow model that allows you o estimate human pose by detecting body parts such as elbows, hips, wrists, knees, … WebThe Feature Recognition project utilizes computer vision & deep learning to recognize certain features in real-time which includes mask, gender and age, and emotion recognition. Built with Python libraries such as TensorFlow and Keras, it features a GUI that allows for easy use and the ability to train custom models. - GitHub - XLRA/Feature-Recognition: The … the unlucky winners genre