ParaCom An IoT based affordable solution enabling people with limited mobility to interact with machines

There are many people in this world who don’t have the ability to communicate with others due to some unforeseen accident. User’s who are paralyzed and/or suffering from different Motor Neuron Diseases (MND) like Amyotrophic Lateral Sclerosis (ALS), Primary Lateral Sclerosis etc, by making them more independent. Patients suffering from these diseases are not able to move their arms and legs, lose their body balance and the ability to speak. Here we propose an IoT based communication controller using the concept of Morse Code Technology which controls the smartphone of the user. This paper proposes a solution to give the user ability to communicate to other people using machine as an intermediator. The device will require minimal inputs from the user.

Securing Data And Information In The Cloud Using Dna And Morse Coding Techniques

Cloud computing is a computing strategy that provides services hosted on the Internet to its users/customers. It refers to the computer solutions that are distributed. The cloud allows data to be stored and provides remote access to any work-related data. Enables easy access to cloud computing services at a low cost. Data protection and privacy protection are two major confusions about cloud technology. Various methods have been followed to make data security in the cloud reliable. A two-way DNA encryption algorithm (BDEA) is one such data protection technique. However, the current technology ignores the non-English user of cloud computing and focuses only on the ASCII script. This proposed work focuses on improving BDEA. To increase the security and confidentiality of data in the cloud environment, DNA sequences are used for encryption programs with Morse code. Using Morse code makes it very difficult for an intruder to steal the original data. Theoretical and experimental results show the efficiency of the algorithm, It is also an indication that it can be used in a variety of applications such as security, banking, and medical purposes. The future job is to encrypt color images and videos to upload to the cloud.

IMU-Based Hand Gesture Interface Implementing a Sequence-Matching Algorithm for the Control of Assistive Technologies

Assistive technologies (ATs) often have a high-dimensionality of possible movements (e.g., assistive robot with several degrees of freedom or a computer), but the users have to control them with low-dimensionality sensors and interfaces (e.g., switches). This paper presents the development of an open-source interface based on a sequence-matching algorithm for the control of ATs. Sequence matching allows the user to input several different commands with low-dimensionality sensors by not only recognizing their output, but also their sequential pattern through time, similarly to Morse code. In this paper, the algorithm is applied to the recognition of hand gestures, inputted using an inertial measurement unit worn by the user. An SVM-based algorithm, that is aimed to be robust, with small training sets (e.g., five examples per class) is developed to recognize gestures in real-time. Finally, the interface is applied to control a computer’s mouse and keyboard. The interface was compared against (and combined with) the head movement-based AssystMouse software. The hand gesture interface showed encouraging results for this application but could also be used with other body parts (e.g., head and feet) and could control various ATs (e.g., assistive robotic arm and prosthesis).

Comprehension of Morse Code Predicted by Item Recall From Short-Term Memory

Purpose Morse code as a form of communication became widely used for telegraphy, radio and maritime communication, and military operations, and remains popular with ham radio operators. Some skilled users of Morse code are able to comprehend a full sentence as they listen to it, while others must first transcribe the sentence into its written letter sequence. Morse thus provides an interesting opportunity to examine comprehension differences in the context of skilled acoustic perception. Measures of comprehension and short-term memory show a strong correlation across multiple forms of communication. This study tests whether this relationship holds for Morse and investigates its underlying basis. Our analyses examine Morse and speech immediate serial recall, focusing on established markers of echoic storage, phonological-articulatory coding, and lexical-semantic support. We show a relationship between Morse short-term memory and Morse comprehension that is not explained by Morse perceptual fluency. In addition, we find that poorer serial recall for Morse compared to speech is primarily due to poorer item memory for Morse, indicating differences in lexical-semantic support. Interestingly, individual differences in speech item memory are also predictive of individual differences in Morse comprehension. Conclusions We point to a psycholinguistic framework to account for these results, concluding that Morse functions like “reading for the ears” ( Maier et al., 2004 ) and that underlying differences in the integration of phonological and lexical-semantic knowledge impact both short-term memory and comprehension. The results provide insight into individual differences in the comprehension of degraded speech and strategies that build comprehension through listening experience. Supplemental Material https://doi.org/10.23641/asha.16451868

Rhythm (Exercises 41–60)

Rhythm in this chapter is conceived as the pace at which music unfolds in time. Note values, rests, and other sources of rhythmic notation are a way to control the temporal evolution of a new composition. Exercise 41 proposes a series of simple mathematical transformations to given rhythmic structures; 42 and 43 use segments of equal and unequal length. Numbers 44 and 45 incorporate the concept of non-retrogradable rhythmic structures, the goal of 46 is to extract the rhythm of a given text using its syllables and accents, 47 uses groupings to generate meter, and 48 uses a Morse code translator to extract the durations from a given text. Exercise 49 brings back the concept of rhythmic ostinato; 50 and 51 employ hemiolas. Number 52 is based on the use of several time signatures simultaneously (polymeter), 53 incorporates metric modulations, and 54 uses rhythmic motifs as building blocks. Number 55 continues with the use of motifs, shifting them in time. The concepts of talea and color from isorhythmic motets are included in exercise 56. Looping and composing using repeat signs are included in number 57; 58 is about indeterminate pauses and fermatas. Rhythmic transformations using eliminations are at the core of 59; exercise 60 proposes an experimentation with the perception of pulse.

Can the Subaltern Speak?

This paper presents AI-controlled robotic masks intended to empower women and allow them to communicate with one another. These are inspired by the historical masks worn by the Bandari women from southern Iran. Legend has it that these masks were developed during Portuguese colonial rule as a way of protecting the wearer from the gaze of slave masters looking for attractive women. In this project two robotic masks seemingly begin to develop their own language to communicate with each other, blinking their eyelashes in rapid succession using AI-generated Morse code. This project draws upon a Facebook experiment where two AI bots apparently began to develop their own language. It also draws upon an incident when an American soldier used his eyes to blink and spell out the word "TORTURE" using Morse code during his captivity in Vietnam, as well as stories of women using code to report domestic abuse during the COVID-19 lockdown. The aim is to sow anxiety within the patriarchal system where the "wink" of the sexual predator is subverted into a language to protect women from the advances of a predator. The project bridges AI, interactive design, and critical thinking (Figure 1).