25 research outputs found

    Motion Coupling of Earable Devices in Camera View

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    Earables, earphones augmented with inertial sensors and real-time data accessibility, provide the opportunity for private audio channels in public settings. One of the main challenges of achieving this goal is to correctly associate which device belongs to which user without prior information. In this paper, we explore how motion of an earable, as measured by the on-board accelerometer, can be correlated against detected faces from a webcam to accurately match which user is wearing the device. We conduct a data collection and explore which type of user movement can be accurately detected using this approach, and investigate how varying the speed of the movement affects detection rates. Our results show that the approach achieves greater detection results for faster movements, and that it can differentiate the same movement across different participants with a detection rate of 86%, increasing to 92% when differentiating a movement against others

    Battery-Aware Power Management Techniques for Wearable Haptic Nodes

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    Haptic feedback provides an eective means of transferring information through tactile stimulation. In this work we look into the use of tactors for haptic feedback in body-worn contexts where individuals are allowed to move around. In this context it is crucial to design low power systems that al- low the activation of multiple tactors at the same time with limited battery power. We investigate how to minimize tac- tor power consumption by tuning the characteristics of their excitatory signal and present an activation policy to maxi- mize the number of tactors that can be simultaneously pow- ered by a battery under a tight peak current constraint.The proposed optimizations reduce power consumption and al- low a much higher number of simultaneously active tactors. Furthermore, we provide a design strategy whereby design- ers can tune the maximum number of simultaneously allowed active tactors based on battery and system requirements

    Battery-Aware Power Management Techniques for Wearable Haptic Nodes

    No full text
    Haptic feedback provides an eective means of transferring information through tactile stimulation. In this work we look into the use of tactors for haptic feedback in body-worn contexts where individuals are allowed to move around. In this context it is crucial to design low power systems that al- low the activation of multiple tactors at the same time with limited battery power. We investigate how to minimize tac- tor power consumption by tuning the characteristics of their excitatory signal and present an activation policy to maxi- mize the number of tactors that can be simultaneously pow- ered by a battery under a tight peak current constraint.The proposed optimizations reduce power consumption and al- low a much higher number of simultaneously active tactors. Furthermore, we provide a design strategy whereby design- ers can tune the maximum number of simultaneously allowed active tactors based on battery and system requirements
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