Development of First Aid Kit with Intuitive Touch Screen Display and Voice Instruction

First aid kit has been used to treat minor pain or injuries before one can receive a qualified treatment from the medical doctor. It is found that the contents inside the first aid is only checked periodically and as a result, there is high chance that certain important medicine is not there by the time it is needed. Thus, the development of smart first aid kit that prioritizes on content management via intuitive display and voice instruction is presented in this paper. The developed smart first aid kit offers several unique features. The first is the use of infrared sensor to detect the availability of the first aid content. If the content is taken, the red LED will be lit up, and the user is notified through Blynk apps in smartphone and email by means of NodeMCU. The second feature is that the developed first aid is equipped with the Smart TFT LCD touch screen display and speaker. This smart touch screen can display the list of first aid contents as well as provide a quick button for voice instructions. The voice instruction button will play the recorded guidance and medical instructions in the form of phrases and voices. The programming for the touch screen display, the voice instructions (played by Arduino Mini MP3 module) and speaker are all processed by the Arduino Mega. Simple testing and analysis on sensor detection and notification revealed that both sensor and Blynk app work fine if the medications are placed in the correct position. In conclusion, a smart first aid kit with touch screen medications instructions menu equipped with voice instructions and the ability to alert the end user whenever the content of first aid is taken out has been successfully developed and executed in this study. All sensors and the programming for the touch screen and voice instruction work accordingly. For future work, several improvements are recommended such as better data management that has complete record on date, time, and name of the content that is taken out as well as alerting the user on the expiry date. This can help the person in charge to efficiently monitor the content in the first aid.

Mobile Robot Dengan Pengontrolan Perintah Suara Berbasis Android

Control of mobile robot manually using remote control connected with cable has constraints that limited space of robot movement. For that developed mobile robot control system using bluetooth communication. The purpose of this research is to create a mobile robot control system through wireless communication using voice command instruction via application on Android using microcontroller type Arduino Mega2560. The methodology in this research is the voice instruction will be recorded by the application on Android, then matched with the database and then converted into characters in the form of strings and sent via bluetooth transmitter on Android to bluetooth receiver on mobile robot to be executed by program made on microcontroller robot. The results obtained include mobile robot can move to follow voice command instruction that is given include command forward, backward, turn left and right only for one movement while in test result got error of movement equal to 1.55% with response time 4-7 second because the process of recording and translation of voice instructions on Android and also influenced by noise or other sounds that are not desired.

Online and Face-to-Face Voice Instruction

Traditionally, post-secondary-level voice training has relied upon face-to-face interaction. Concerns about the viability of the online environment to facilitate the interaction needed to teach discipline-specific vocal skills has delayed adoption of online voice teaching in online music programs. This chapter discusses online and face-to-face voice instruction and presents evidence of a research study examining the two delivery methods. The study examined the difference in pitch accuracy improvement scores of 78 female collegiate voice majors at a large university in the mid-Atlantic United States in an effort to determine efficacy of online voice instruction and traditional face-to-face voice instruction according to pitch accuracy improvement. These results demonstrate that no significant difference was found between pitch accuracy improvement scores of 37 voice majors trained and tested online versus 41 voice majors tested face-to-face, suggesting that online voice training is as effective as traditional face-to-face voice training pertaining to pitch accuracy instruction.

Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System

An improved self-organizing map (SOM), parameterless-growing-SOM (PL-G-SOM), is proposed in this paper. To overcome problems existed in traditional SOM (Kohonen, 1982), kinds of structure-growing-SOMs or parameter-adjusting-SOMs have been invented and usually separately. Here, we combine the idea of growing SOMs (Bauer and Villmann, 1997; Dittenbach et al. 2000) and a parameterless SOM (Berglund and Sitte, 2006) together to be a novel SOM named PL-G-SOM to realize additional learning, optimal neighborhood preservation, and automatic tuning of parameters. The improved SOM is applied to construct a voice instruction learning system for partner robots adopting a simple reinforcement learning algorithm. User's instructions of voices are classified by the PL-G-SOM at first, then robots choose an expected action according to a stochastic policy. The policy is adjusted by the reward/punishment given by the user of the robot. A feeling map is also designed to express learning degrees of voice instructions. Learning and additional learning experiments used instructions in multiple languages including Japanese, English, Chinese, and Malaysian confirmed the effectiveness of our proposed system.

Field Comparison of Driving Performance Using a Portable Navigation System

Recent work has revealed that increasing numbers of drivers now receive driving instructions using a portable navigation system. A 2×2×2 (position×display decrease mode×voice) factorial experiment was executed to compare driving performance when using a portable navigation system (PNS). Thirty-two subjects were paid to participate in this field study, and a smart phone was adopted as the portable navigation device. The results indicated that drivers using the PNS under the conditions up position and with voice instruction performed better in terms of trip duration, mean speed, and the standard deviation of speed.