25 research outputs found
Motion Coupling of Earable Devices in Camera View
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
Application of a Graphene Oxide–Carbon Paste Electrode for the Determination of Lead in Rainbow Trout from Central Europe
Battery-Aware Power Management Techniques for Wearable Haptic Nodes
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
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