Creative writing is hard: Novelists struggle with writer's block daily. While automatic story generation has advanced recently, it is treated as a "toy task" for advancing artificial intelligence rather than helping people. In this paper, we create a system that produces a short description that narrates a predicted plot using existing story generation approaches. Our goal is to assist writers in crafting a consistent and compelling story arc. We conducted experiments on Amazon Mechanical Turk (AMT) to examine the quality of the generated story plots in terms of consistency and storiability. The results show that short descriptions produced by our frame-enhanced GPT-2 (FGPT-2) were rated as the most consistent and storiable among all models; FGPT-2's outputs even beat some random story snippets written by humans. Next, we conducted a preliminary user study using a story continuation task where AMT workers were given access to machine-generated story plots and asked to write a follow-up story. FGPT-2 could positively affect the writing process, though people favor other baselines more. Our study shed some light on the possibilities of future creative writing support systems beyond the scope of completing sentences. Our code is available at: https://github.com/appleternity/Story-Plot-Generation.
In recent era, miniaturized computing and sensor networks are rapidly growing in Networking. Body area network (BAN) technology has evolved in recent years as a category of wireless sensor network technology which concentrates mainly on changes in biological conditions in human beings and animals. The motivation for our work rises from the increasing health monitoring needs for the population and the self-awareness that people want to have of their physical activity. These are the main motives for the growth of sensing around and within our body. BAN has a variety of applications, including emergency response and device control, health and fitness monitoring, military and entertainment. Health and fitness monitoring includes an efficient way to continuously monitor the human body's heartbeat, blood pressure changes, sudden increase in body temperatures, increase in glucose and even brain activities through implanted/wearable sensor devices .This technology is used in many areas of human computer interaction which include brain computer interface. There are many IEEE versions related to BAN rather the current versions mainly concentrates on security and privacy. However, BAN technology also has various challenges seldom due to the scarce hardware, radio communication properties and environment where they work. BAN technology has overcome many challenges related to sensor networks .Here we will convey the need for wireless sensor networks, various applications pertaining to different fields like electrocardiography (ECG), electroencephalography (EEG) and Electromyography (EMG), Body area Network architecture, Hardware required for this technology and sensor node communications, Future scope and characteristics regarding their implementation.
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