Shannon Wireless’ Post

Hey Connections! Exciting News 🎉 !! I’m thrilled to share that I have presented my research on “Pose Estimation based Fall Detection system using MediaPipe” at ICCSP ’24 10th International Conference on Communication and Signal Processing! The IEEE conference presentation provided me with an amazing opportunity to network with other research scholars and industry experts and present my work. I was able to gain relevant insights in various verticals of cutting edge technology, used in diverse domains. I’m delighted to share that my presented research work has been accepted into the prestigious IEEE Xplore Digital Library: https://lnkd.in/gBD_QSW6 The research focuses on developing a lightweight Fall Detection system which is able to run inference on CPU and edge devices, having decent FPS and accuracy. A Vision-centric approach was considered by leveraging the Pose Estimation technology and skeleton extraction, giving us the body-joint (landmarks) coordinates. A popular lightweight pose estimator module, MediaPipe has been used to extract these pose landmarks. These landmarks are used within a decision condition based system, which reads input frame by frame from the video sequences and detects if any falling action frames are present in the video sequence. The main highlights of my research work includes : - Tackling the problem of Fall Detection using a Computer Vision-centric approach - Leveraging Pose Estimation technology in Computer Vision to detect falling action frames within RGB video sequences - Developing a Decision condition based system (using the Pose landmarks) to detect falls, which is different from existing deep learning based methodologies usually used for Fall Detection in video sequences - Utilizing a lightweight Pose Estimator module, MediaPipe, which is able to run inference on CPU and edge devices with decent FPS and accuracy to detect falls - Making an efficient, lightweight and robust solution to detect falls in video sequences which can be easily integrated into healthcare and biomedical domains for elderly supervision in future, subjected to potential advancements and improvements It is my pleasure to express with a deep sense of gratitude to my mentor, Dr. Malathi G. for her constant insightful guidance and invaluable support throughout this research work. Special mention to my close friends Akshat Dhamale and Krishna Sarawagi for their motivational support and helpful nature, helping me along my journey! And lastly, I want to acknowledge everyone who contributed to this achievement :) Looking forward to more research opportunities! 🙂 #ICCSP2024 #IEEE #ComputerVision #AIinHealthcare #ResearchPresentation #ResearchPaper #MediaPipe

This paper present #JUMP, the first system enabling practical bistatic and asynchronous joint communication and sensing, while achieving accurate target tracking and micro-Doppler extraction in realistic conditions. Their system compensates for the timing offset by exploiting the channel correlation across subsequent packets. Further, it tracks multipath reflections and eliminates frequency offsets by observing the phase of a dynamically-selected static reference path. JUMP has been implemented on a 60 GHz experimental platform, performing extensive evaluations of human motion sensing, including non-line-of-sight scenarios. In their results, JUMP attains comparable tracking performance to a full-duplex monostatic system and similar micro-Doppler quality with respect to a phase-locked bistatic receiver. ---- Jacopo Pegoraro, Jesus O. Lacruz, Tommy Azzino, Marco Mezzavilla, Michele Rossi, Joerg Widmer, Sundeep Rangan More details can be found at this link: https://lnkd.in/ecnkzMS3

Check out our new paper available under Early Access in the IEEE Open Journal of Ultrasonics, Ferroelectrics, and Frequency Control: https://lnkd.in/dhk5imXT Håvard Kjellmo Arnestad is our first author!

What’s a good percentage to see if and how your protein binds to a ligand when you do affinity screening? Find out when you attend our webinar with Dr. Adams. #drugscreening, #drugdevelpment, #earlydrugdiscovery.

In case you missed me at this year's American Control Conference, my paper with Karen Rudie on "Limited-Capacity Supervisors for Discrete-Event Systems" is now available in the conference proceedings. Building on the rest of my thesis work that showed: ➡ that rapid motor behaviours can be assessed via a steady-state rate that reliably decreases with age ➡ that this steady-state rate can be attributed to limited neural resources ➡ and that from a control-theoretic point of view we can define minimal control bases on a per-task basis In this paper we: ✔ developed a formal notion of capacity for discrete-event systems ✔ solved a problem where the supervisor's capacity limits are a central feature ✔ and made some additional interesting observations about the nature of capacity usage in these problems The goal is to develop control theory models that incorporate aspects of the human brain, such as instateneous capacity limits. https://lnkd.in/gdDWABxj

This work shows the taxonomy of proposed MMSE combining vectors for different clustering techniques, and three approaches to partially suppress interference based on 1) interferers with common access points, 2) strongest channel gain, and 3) strongest eigendirections. In order to analyze the pros and cons of the three interference suppression methods, a general parameterized MMSE combining vector is proposed, that is generic enough to represent any clustering methodology and any partial interference suppression technique. ----Andrea P. Guevara, @Cheng-Ming Chen, Alessandro Chiumento, @Sofie Pollin More details can be found at this link: https://lnkd.in/gUAfqhaz

This paper examines the problem of #joint #active #and #passive #beamforming in a #controllable #multi-#user #reconfigurable #intelligent #surface (#RIS)-#assisted downlink and uplink wireless communication system, considering the mutual coupling among RIS elements. Due to the #sub-#wavelength #structure, #mutual #coupling among RIS elements is unavoidable, and it inherently leads to multiple reflection effects that are ignored in #conventional (#approximative) RIS models. The authors formulate a joint non-convex problem under the #MMSE criterion and use alternative optimization to convert the #non-#convex #problem into two sub-problems for downlink and uplink transmissions separately. In both transmissions, one #sub-#problem involves optimizing the #phase-#shift #matrix of RIS. In downlink, the other sub-problem is the optimization of active precoding for the #base #station (#BS), while the equivalent sub-problem in uplink is the optimization of the linear receiver matrix.----Dilki Wijekoon, Amine Mezghani, Ekram Hossain More details can be found at this link: https://lnkd.in/gc-M4GnN

🚀 Exciting News! My latest research, "Proving the Feasibility of D-Band Single SiGe MMIC Vector Network Analyzer Extension Modules With Large System Dynamic Range," will be published in the IEEE Journal of Microwaves and is now accessible via early access. This paper addresses the growing demand for compact and cost-efficient mm-wave VNA extension modules by introducing a novel D-band design approach based on a single SiGe MMIC. This advancement could open up new possibilities for research and industrial applications. 💡 Key Highlights:    Single-chip Integration: Unlike traditional modules with discrete components, our approach integrates most high-frequency components on a single SiGe MMIC, offering a more compact and affordable solution.    Large Dynamic Range: The module demonstrates a competitive system dynamic range above 90 dB for a wide frequency range.    Calibration Capabilities: We validated and evaluated the calibration capability of our module through extensive measurements of various passive components. 🔍 It was a fantastic experience collaborating with a very engaged and supportive team: Lukas Dierkes, Stephan Hauptmeier, Tobias T. Braun, Hakan Papurcu, Jens Richter, Pascal Stadler, Ahmad Zaben, Klaus Aufinger, Jan Barowski, and Nils Pohl! I invite you to delve into the full paper for a comprehensive understanding and want to encourage you to ask the arising questions https://lnkd.in/eFyt7iSG

This paper uses a #data-#carrying #reference #signal (#DC-#RS) that can simultaneously estimate channel coefficients and transmit data symbols. Here, symbols on the Grassmann manifold are exploited to carry additional data and to assist in channel estimation. Unlike conventional studies, the authors analyze the channel estimation errors induced by DC-RS and propose an optimization method that improves the channel estimation accuracy without performance penalty. ---- Naoki Endo, Hiroki Iimori, Chandan Pradhan, Szabolcs Malomsoky More details can be found at this link: https://lnkd.in/e3DE2PrN

This paper identify the optimal signaling strategy for the #additive #white #Gaussian #noise (#AWGN) channel with polar quantization at the output. More precisely, the authors show that the capacity-achieving modulation scheme has an #amplitude #phase #shift #keying (#APSK) structure. Using this result, the capacity of the AWGN channel with polar quantization at the output is established by numerically optimizing the probability mass function of the amplitude. The capacity of the polar-quantized AWGN channel with b1-bit phase quantizer and optimized single-bit magnitude quantizer is also presented. ---- Jingge Zhu, Jamie Evans More details can be found at this link: https://lnkd.in/eipSpkaj