Daily activity recognition can help people to maintain a healthy lifestyle and robot to better interact with users. Robots could therefore use the information coming from the activities performed by users to give them some custom hints to improve lifestyle and daily routine. The pervasiveness of smart things together with advances in cloud robotics can help the robot to perceive and collect more information about the users and the environment. In particular thanks to the miniaturization and low cost of Inertial Measurement Units, in the last years, body-worn activity recognition has gained popularity. In this work, we investigated the performances with an unsupervised approach to recognize eight different gestures performed in daily living wearing a system composed of two inertial sensors placed on the hand and on the wrist. In this context our aim is to evaluate whether the system is able to recognize the gestures in more realistic applications, where is not possible to have a training set. The classification problem was analyzed using two unsupervised approaches (K-Mean and Gaussian Mixture Model), with an intra-subject and an inter-subject analysis, and two supervised approaches (Support Vector Machine and Random Forest), with a 10-fold cross validation analysis and with a Leave-One-Subject-Out analysis to compare the results. The outcomes show that even in an unsupervised context the system is able to recognize the gestures with an averaged accuracy of 0.917 in the K-Mean inter-subject approach and 0.796 in the Gaussian Mixture Model inter-subject one.


    Access

    Download


    Export, share and cite



    Title :

    Daily activity recognition with inertial ring and bracelet: An unsupervised approach



    Publication date :

    2017-01-01



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    Lifesaving bracelet capable of being worn in daily life

    GE HONGHAO | European Patent Office | 2023

    Free access

    Lifesaving bracelet

    LIU RUNYU / LIU YANZHI | European Patent Office | 2015

    Free access

    WEARABLE NAVIGATION SYSTEM, RING/WATCH/BRACELET, AND PROGRAM

    IWATA HARUYUKI | European Patent Office | 2016

    Free access

    Inflation bracelet

    HU LINGXIA / WU XIAOHE / LI XINFANG et al. | European Patent Office | 2015

    Free access

    Anti-drowning bracelet

    TONG YU / WANG HAN / SUN XIAOYU et al. | European Patent Office | 2020

    Free access