• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    January 26, 2021: Mr. Pham Van Thanh (Univ. Fire Prevention and Fighting), Highly Accurate Step Counting at Various Walking States Using Low-Cost Inertial Measurement Unit Support Indoor Positioning System

    Accurate step counting is essential for indoor positioning, health monitoring systems, and other indoor positioning services. Nevertheless, over-counting, under-counting, and false walking problems are still encountered in these methods. In this research, we propose to develop a highly accurate step counting method to solve these limitations by proposing four features: Minimal peak distance, minimal peak prominence, dynamic thresholding, and vibration elimination, and these features are adaptive with the user’s states. In this talk, I would like to introduce our proposed features which are combined with periodicity and similarity features to solve false walking problem.

    Speaker: Mr. Pham Van Thanh, Univ. Fire Prevention and Fighting

    Time: 15:30, Tuesday, January 26, 2021

    Venue: G2-315, 144 Xuan Thuy, Cau Giay, Hanoi

    speaker

    Pham Van Thanh was born in 1990. He received hisFaculty of Fire Engineering and B.Sc, and M.Sc. degrees respectively in 2012, and Technology, UFPF 2015 at the University of Engineering and Technology (UET), Vietnam National University – Hanoi, Vietnam (VNUH). He is currently a PhD student in Electronics and Telecommunication at UET and lecturer at Faculty of Fire Engineering and Technology, University of Fire Prevention and Fighting (UFPF). His research areas of interest include: Signal and image processing, personal safety equipment, Firefighter supporting devices, fire protection systems.

    SAME CATEGORY

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    February 2, 2024: Prof. Heng Ji (University of Illinois at Urbana-Champaign), Combating with Misinformation and Cancer: A Unified Multimodal AI Approach to Healthy and Happy Life

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    January 11, 2024: Dr. Le Duc Trong (FIT-UET) Resilient Multimodal Learning for Multimodal Emotion Recognition in the Presence of Incomplete Modalities

    Multimodal Emotion Recognition in Conversation (Multimodal ERC) is a critical area of research for interpreting human communication in diverse applications. Nevertheless, the persistent issue of uncertain missing modalities poses a major hurdle, hampering the development of robust Multimodal ERC models. Existing approaches face limitations in effectively leveraging a fusion of diverse data modalities encompassing audio, […]