A survey on smartphone-based systems for opportunistic user context recognition

SA Hoseini-Tabatabaei, A Gluhak… - ACM Computing Surveys …, 2013 - dl.acm.org
The ever-growing computation and storage capability of mobile phones have given rise to
mobile-centric context recognition systems, which are able to sense and analyze the context …

MEMS accelerometer based nonspecific-user hand gesture recognition

R Xu, S Zhou, WJ Li - IEEE sensors journal, 2011 - ieeexplore.ieee.org
This paper presents three different gesture recognition models which are capable of
recognizing seven hand gestures, ie, up, down, left, right, tick, circle, and cross, based on the …

Using mobile phones to write in air

S Agrawal, I Constandache, S Gaonkar… - Proceedings of the 9th …, 2011 - dl.acm.org
Numerous sensors in modern mobile phones enable a range of people-centric applications.
This paper envisions a system called PhonePoint Pen that uses the in-built accelerometer in …

Gyropen: Gyroscopes for pen-input with mobile phones

T Deselaers, D Keysers, J Hosang… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
We present GyroPen, a method to reconstruct the motion path for pen-like interaction from
standard built-in sensors in modern smartphones. The key idea is to reconstruct a …

AirContour: Building contour-based model for in-air writing gesture recognition

Y Yin, L Xie, T Gu, Y Lu, S Lu - ACM Transactions on Sensor Networks …, 2019 - dl.acm.org
Recognizing in-air hand gestures will benefit a wide range of applications such as sign-
language recognition, remote control with hand gestures, and “writing” in the air as a new …

Gesture recognition for interactive controllers using MEMS motion sensors

S Zhou, Q Shan, F Fei, WJ Li, CP Kwong… - 2009 4th IEEE …, 2009 - ieeexplore.ieee.org
In this paper we present our work on real-time human gesture recognition for multimedia
interactive controllers through the use of Microelectromechanical Systems (MEMS) 3 axes …

Wireless IoT motion-recognition rings and a paper keyboard

Y Zhao, C Lian, X Zhang, X Sha, G Shi, WJ Li - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we present a new scheme for implementing virtual keyboards, which uses only
two to four motion-recognition rings per hand and a two-dimensional keyboard template (eg …

Evolutionary metric-learning-based recognition algorithm for online isolated Persian/Arabic characters, reconstructed using inertial pen signals

M Sepahvand, F Abdali-Mohammadi… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
The development of sensors with the microelectromechanical systems technology expedites
the emergence of new tools for human-computer interaction, such as inertial pens. These …

A hand-gesture-based control interface for a car-robot

XH Wu, MC Su, PC Wang - 2010 IEEE/RSJ International …, 2010 - ieeexplore.ieee.org
In this paper, we introduce a hand-gesture-based control interface for navigating a car-robot.
A 3-axis accelerometer is adopted to record a user's hand trajectories. The trajectory data is …

An explicable keystroke recognition algorithm for customizable ring-type keyboards

X Sha, C Lian, Y Zhao, J Yu, WJ Li - IEEE Access, 2020 - ieeexplore.ieee.org
In our previous work, we developed an IMU (Inertial Measurement Unit) based smart ring
that allows users to type characters without a physical keyboard and adopt well-known …