A Flexible Bio-Signal Based HMI for Hands-Free Control of an Electric Powered Wheelchair

نویسندگان

  • Ericka-Janet Rechy-Ramirez
  • Huosheng Hu
چکیده

This paper presents a bio-signal based human machine interface (HMI) for hands-free control of an electric powered wheelchair. In this novel HMI, an Emotive EPOC sensor is deployed to detect facial expressions and head movements of users, which are then recognized and converted to four uni-modal control modes and two bi-modal control modes to operate the wheelchair. Nine facial expressions and up-down head movements have been defined and tested, so that users can select some of these facial expressions and head movements to form the control commands. The proposed HMI is user-friendly and allows users to select one of six available control modes according to their comfort. Experiments are conducted to show the feasibility and performance of the proposed HMI. A Flexible Bio-Signal Based HMI for Hands-Free Control of an Electric Powered Wheelchair

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Head movement and facial expression-based human-machine interface for controlling an intelligent wheelchair

This paper presents a human machine interface (HMI) for hands-free control of an electric powered wheelchair (EPW) based on head movements and facial expressions detected by using the gyroscope and ‘cognitiv suite’ of an Emotiv EPOC device, respectively. The proposed HMI provides two control modes: 1) control mode 1 uses four head movements to display in its graphical user interface the control...

متن کامل

A hybrid human-machine interface for hands-free control of an intelligent wheelchair

This paper presents a novel hybrid human-machine interface (HMI) designed for hands-free control of electric powered wheelchairs. Both forehead electromyography (EMG) signals and colour face image information are deployed to identify winking and jaw clenching movements of human face. Five winking and jaw clenching movement patterns are selected and classified, mapping into six control commands ...

متن کامل

Robust Bio-Signal Based Control of an Intelligent Wheelchair

In this paper, an adaptive human-machine interaction (HMI) method that is based on surface electromyography (sEMG) signals is proposed for the hands-free control of an intelligent wheelchair. sEMG signals generated by the facial movements are obtained by a convenient dry electrodes sensing device. After the signals features are extracted from the autoregressive model, control data samples are u...

متن کامل

Fusing EMG and Visual Data for Hands-Free Control of an Intelligent Wheelchair

This paper presents a novel hands-free human machine interface (HMI) for elderly and disabled people by fusing multi-modality bioinformation abstracted from forehead electromyography (EMG) signals and facial images of a user. The interface allows users to drive an electric-powered wheelchair using face movements such as jaw clenching and eye blinking. An indoor environment is set up for evaluat...

متن کامل

Control of Electric Wheelchair Suspension System based on Biodynamic Response of Seated Human Body

Electric wheelchair is one of the equipment to be used by the incapacitated and disable people. Constant exposure to vibration affects human comfort and health. Reducing the vibrations transmitted to the human body is important in the electric wheelchair design and becomes a healthcare industry demand. This paper deals with the study on vibration control of the electric wheelchair suspension sy...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • IJALR

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2014