JQ02a-21 Voice Controlled Smart Instrument

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WONG, Man(@eemwong)
January 19, 2022 3:31 pm

Hi. Project is intriguing. If the input to the system is voice, what is the purpose of the EMG signal?

HO, Yiu Kwan(@ykhoae)
January 19, 2022 3:50 pm
Reply to  WONG, Man

Thank you for your question.

Our rehabilitation glove provides two control methods, EMG control and voice control methods. It depends on users’ preferences. For patients with serious brain damages, their EMG signals are relatively weak. Therefore, voice control method will become an alternatively way for them to control the device and the EMG signal will become a method in monitoring patients’ condition.

QUADEER, Ahmed Abdul(@eeaaquadeer)
January 19, 2022 2:56 pm

Interesting project and poster.

Can you explain the need of this glove? Do such gloves already exist? It is not clear from your project overview/objectives.

Also, there are multiple terms that have been used but not explained properly. For example, what is the HC-05 module? What is an EMG signal? The word “stroke” is used for the first time in the RESULTS section.

HO, Yiu Kwan(@ykhoae)
January 19, 2022 3:25 pm

Thank you for your questions.

Our glove is designed as a voice-controlled rehabilitation glove to support stroke patients during their physical therapy stages. As there is an imbalance in the ratio of occupational therapists to patients, we propose such a portable glove to fill the niche between the supplies and demands of rehabilitation services.

It is true that there are many similar products in the market. However, they have a rather complex control interface (such as a large controller box with complicated button controls which only have small icons to show each of the functions which are very unclear). We aim to provide a more direct control on the rehabilitation glove.

For the HC-05 module, it is a Bluetooth module used to connect the Arduino Board for voice control with the mobile app. In this case, the voice control functions inside the app could then be activated.

EMG (Electromyography) signals are electric impulse signals extracted from our muscles to reflect muscular activities so that we can make judgements on different medical conditions of patients.

‘Stroke’ is an example of cerebrovascular accidents which patients suffered from temporary brain damages and lost their partial body mobilities. Therefore, our rehabilitation glove aims at assisting these patients during their stages of recovery.