The implementation of a smartphone-based fall detection system using a high-level fuzzy Petri net

The falling down problem has become one of the very important issues of global public health in an aging society. The specific equipment was adopted as the detection device of falling-down in the early studies, but it is inconvenient for the elderly and difficult for future application. The smart phone more commonly used than the specific fall detection equipment is selected as a mobile device for human fall detection, and a fall detection algorithm is developed for this purpose. What the user has to do is to put the smart phone in his/her thigh pocket for falling down detection. The signals detected by the tri-axial G-sensor are converted into signal vector magnitudes as the basis of detecting a human body in a stalling condition. The Z-axis data sets are captured for identification of human body inclination and the occurrence frequencies at the peak of the area of use are used as the input parameters. A high-level fuzzy Petri net is used for the analysis and the development of identifying human actions, including normal action, exercising, and falling down. The results of this study can be used in the relevant equipments or in the field of home nursing.     

基于Android的智能手机应用开发的研究

伴随着国家正在大规模建设3G网络,智能手机使用普及率也在不断的提高。手机不仅仅是一个简单的通信工具,它被赋予了更加优质而强大的功能,智能手机正在改变着人们的工作方式和生活方式．我们已经步入了移动互联网时代。Android作为智能手机的新宠得到了飞速的发展,受到大家的关注而被广泛的应用,Android平台的应用程序开发的群体也在逐渐地壮大起来。     

智能手机点击劫持攻击检测方法研究

点击劫持通过欺骗用户点击经过伪装的界面元素达到攻击目的。移动互联网环境下,智能手机的屏幕特征、手势识别、HTML5支持度高等特性成为点击劫持新的利用点。深入分析并实验验证智能手机脆弱特性,在此基础上提出点击劫持在智能手机上的潜在攻击方案。进而设计并实现一套有针对性的检测方案。该方案从静态页面和动态行为两个角度提取攻击特征,并进行基于规则的量化评估与组合判定。实验结果表明该方案可以有效地降低传统页面特征检测方案的漏报和误报情况。     

From big smartphone data to worldwide research: The Mobile Data Challenge

This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale research initiative aimed at generating innovations around smartphone-based research, as well as community-based evaluation of mobile data analysis methodologies. First, we review the Lausanne Data Collection Campaign (LDCC), an initiative to collect unique longitudinal smartphone dataset for the MDC. Then, we introduce the Open and Dedicated Tracks of the MDC, describe the specific datasets used in each of them, discuss the key design and implementation aspects introduced in order to generate privacy-preserving and scientifically relevant mobile data resources for wider use by the research community, and summarize the main research trends found among the 100+ challenge submissions. We finalize by discussing the main lessons learned from the participation of several hundred researchers worldwide in the MDC Tracks.     

Mobile phone use among college students is a sedentary leisure behavior which may interfere with exercise

Research suggests that cell phone use is related to sedentary behavior, that cell phone use during exercise reduces intensity, and that high frequency cell phone users are less fit than other users. Thus, cell phone use appears connected to health and fitness behaviors and should be better understood within this context. The present study investigated the sedentary nature of cell phone use, and examined the likelihood of cellphone use interfering with exercise behavior.DesignA validated survey was administered to a random sample of students from a public US university (N = 226).ResultsMean self-reported cell phone use was 380 min day⁻¹, 87% reported cell phone use primarily occurs while sitting, and 70% of use was for leisure. Cell phone use was positively related to sedentary behavior (β = 0.30, p < 0.001). It was not related to physical activity. However, the likelihood of cell phone use during moderate (p = 0.006) and mild (p < 0.001) intensity exercise increased as cell phone use increased.ConclusionLike other screens (e.g., TVs), cell phone use appears to be a sedentary leisure behavior. Furthermore, high frequency use increases the likelihood that it will occur during exercise, likely lowering exercise intensity.     

A longitudinal study of emoticon use in text messaging from smartphones

Our goal in the present study was to understand how emoticons are used in text messaging and, in particular, how genders differed in the frequency and variety of emoticons used via this medium. Previous research has found small and sundry differences in emotive expression online suggesting that technology has closed the gender gap. However, the data collected in these studies were public. In this study, we collected real portions of private communications data from individuals’ smartphones over a 6-month period. SMS messages, in general, were not used very much overall, with only 4% of all messages containing at least one emoticon. Still, differences between genders manifested in the amount and variety of emoticons used. Females sent more messages with emoticons; however, surprisingly, males used a more diverse range of emoticons.     

Smartphone addiction and associated consequences: role of loneliness and self-regulation

ABSTRACT

The ‘smartphone addiction’ is a popular theme in media. It has number of clear behavioural changes in addicts’ life and some of these aspects are yet to get due research attention. The present study identifies antecedents of smartphone addiction and its associated conflicts. The findings are based on data collected from adolescents, who are major targets for smartphone advertising and also vulnerable to addictions. The findings established ‘loneliness’ and ‘self-regulation’ as the main antecedents for smartphone addiction along with family, personal conflicts and poor academic performance as the significant negative consequences of its excessive use. The study findings would help to create awareness and offer insights for developing effective interventions for addressing smartphone addiction amongst adolescents. The planners, regulatory and administrative authorities will use the study findings to formulate measures that would promote positive coping mechanism to prevent smartphone addiction among adolescents.     

一种基于智能手机蓝牙技术的机器人控制系统

在小型家用机器人控制领域,如何通过智能设备进行机器人控制是该领域的热点问题之一。文中提出了一种基于智能手机蓝牙技术的机器人控制系统。文章首先介绍了采用的蓝牙通讯协议,然后阐述了基于蓝牙技术和智能手机的机器人控制系统的架构,最后详细介绍了该系统的具体实现。该系统很好地满足了对小型家用机器人运动控制的要求。     

基于智能手机和Web技术的建筑震害调查系统

当前建筑震害调查以手工作业为主,效率低下。为此,论文开发了一个基于智能手机与Web技术的建筑震害调查系统。该系统由服务器端、手机端和Web端构成：在服务器端,一个面向建筑的数据库被建立,使得建筑成为信息采集和管理基本单元; 在手机端,一个信息采集程序被开发,建立了多媒体数据与建筑的关联; 在Web端,数据被进行智能解析和存储,并在GIS云平台实现可视化。系统在2015年尼泊尔地震我国西藏地区的建筑震害调查中得到了成功应用。     

The smartphone and its punishment: Social distancing of cellular transgressors in ultra-Orthodox Jewish society,from 2G to the Corona pandemic

Over the past 20 years, the leaders of Israel's ultra-Orthodox (haredi) community carried out an intensive campaign against the diffusion of mobile phones in their enclave society. It included a variety of resistance strategies that escalated in parallel to the consistent increase in mobile phone penetration into the community. If at first the “cellphone danger” was contained by the successful “kosherphone,” a new threat appeared in the form of the smartphone. In this article we explore the severe rabbinic sanctions directed against those who deviate from the communal norm by using a smartphone. We analyze the general “lawfare” strategy of social distancing they adopted, and offer a close reading of the specific religious-law decrees, interpreting them through the historical and legal lens of halakhah (Jewish law). This socio-legal analysis constructs the way haredi leadership understands the role of the smartphone in two contexts. One is the rapidly changing contemporary media environment; the other is the social dynamic affecting this island community, as it encounters the surrounding national and global culture through digital media. The article concludes with a preliminary analysis of the implications of the Corona pandemic on the campaign against the smartphone.