Journal articles on the topic 'Footwear industry China'

Although the footwear industry is one sector of the small and medium industries which supported by the government, but the development of the industry is still relatively low. Various government policies have been made related to export and import settings, however the policies do not seem to provide significant benefits to the national development of the footwear industry. The condition is further exacerbated by the implementation of CAFTA (China-ASEAN Free Trade Agreement) in Indonesia. The lack of preparedness of local industry in the face of Chinese products in the country is feared to suppress the competitiveness of local products become increasingly weak. Therefore, the main objective of this study is to analyze the factors that influence the development efforts of small and household footwear industries and to analyze the effect of CAFTA on the sustainability of small and household footwear industries. The research was conducted in Bogor (district and city) which is a center of footwear industry in Indonesia. The respondent of the study consists of the leading small and household industries taken by purposive sampling with 100 respondents. Data were analyzed using the statistical descripitive and Structural Equation Modeling (SEM). Based on SEM analysis, the results indicate that efforts to develop small and household footwear industries directly affected by motivation efforts of the entrepreneurs in this industry and the government policies that facilitate the entrepreneurs in this industry. Increasing the development of business sustainability is also directly influenced by the characteristics of the entrepreneurs who are able to optimize productivity and the CAFTA implementation which is responded by good competitiveness from the local industry.

The volumes of global footwear production and consumption have been steadily increasing. In particular, the income increases of China and Southeast Asian countries have led to the rapid growth of footwear production and consumption in Asia. However, while advanced countries still include footwear business as one of their growth engines, Korea regard it as stagnant or diminishing. However, beyond the category of simple manufacturing, footwear industry involves the integration of highly functional products, parts manufacturing, and marketing business, and includes expertise in the fields of design, materials, and epidemiology. The strengthening of the shoe industry is an important potential driver of the overall economy. The strengthened competiveness of the footwear industry will play an important role in the overall economic growth. Crowdsourcing is an approach that encourages the participation of specific communities or unspecified masses in a company’s production, service, or problem-solving processes to increase efficiency. To this end, this paper suggests the crowdsourcing platform model built through the integration of footwear design and IT for the ultimate enhancement of the competitiveness of the Korean footwear industry. Following this paper, a study about the practical development, application, and active use of such platform needs to be conducted. One limitation of this study is that the platform is yet to be developed or applied. Future research should focus on developing an actual platform and further studies in its application and vitalization.

The global COVID-19 pandemic has an impact not only on the health sector but also on the industrial sector, especially the footwear industry in various countries such as France, Germany, England, Japan, and also Indonesia. This article discusses specifically the social problems that occur among footwear industry workers in Indonesia after termination of employment (PHK) during the global COVID-19 pandemic. Prior to the pandemic, the footwear industry in Indonesia was running well, and Indonesia was even the fourth country in the world to produce the most footwear in 2018. The production of these footwear was 1.4 billion pairs of footwear which is equivalent to 4.6 percent of the total footwear production worldwide, apart from China, India and Vietnam. The research method used in the writing is descriptive qualitative, which is carried out with data collection methods through in-depth interviews, observations, and journal articles that also discuss problems in the footwear industry. The informants interviewed were a married couple who experienced the termination of employment during the pandemic. The results of this study include: (1) laying off workers, which is one of the options that emerged during the pandemic to close the termination of employment status; (2) when workers were laid off for several months, they did not receive wages, which then led to termination of employment on the grounds that the company is no longer able to carry out production and is declared bankrupt; (3) Workers who have had their employment terminated include both permanent and casual daily workers; (4) casual daily workers who do not receive severance pay; and (5) permanent daily workers who are rehired as casual daily workers.

This study aims to identify the factor that affecting the footwear trade industry in Indonesia based on Indonesia main export destination. Understanding these factors could help leaders in trade industry institutions to better plan their strategies and further research on footwear trading. A set of data was obtained from Badan Pusat Statistic (BPS) based on data from Indonesia footwear main export destination namely: United States, China, Belgium, Germany, Japan, United Kingdom, Netherlands, Korea, Italy, Australia, Mexico, France, Canada, Denmark, Singapore, Brazil, Hong Kong, Russian Federation, Chile, Argentina and Other Countries. Exploratory factor analysis was used to identify the underlying dimensions of countries as Indonesia main export destination. By applying the factor analysis, the study will decide the number of factors to be retained and the total variance explained by these factors; the study can identify the variables in each factor retained in the final solution, on the basis of its factor loadings; the study can give names to each factor retained on the basis of the nature of the variables included in it; the study can suggest the test battery for assessing the footwear trade main export destination in Indonesia; and the study can test the adequacy of sample size used in factor analysis. The result of the study shows that KMO value is 0.784 which is > 0.5; hence, the sample size is adequate for the analysis and the commonalities of all the variables are more than .4; hence, all the variables are useful in the model. Since the variables are identified in factor 0.7 or more, the result shows that all factors which are from the year 2012-2016 contributed to the exports of footwear in Indonesia.

The global export patterns are changing fast as a result of reduction in trade barriers and technological advancements that have led to gains in productivity and change in comparative advantage patterns in world economies. Asian economies such as China and India are enjoying a notable growth in changing circumstances across the world. Pakistan also has great potential for higher growth however the political threats, socioeconomic environment and lack of updated technologies are obstruction in the way of progress. Some sectors of Pakistan economy have shown a good performance in terms of production and exports. Footwear is one such industry which has increased its exports at large extent since 2003. This sector has pivotal importance in terms of providing and creating jobs, earning of foreign exchange with the help of exports and fulfilling the local consumption requirements. Both in Pakistan and around the globe, the demand for footwear is increasing. Pakistan is one of the most populous countries in the World and according to an estimate with an average population growth of 2.25 percent, about 3 million children have been born during the year 2005-06, signaling the growing demand for footwear in Pakistan. It is also estimated that about 60 percent of the World’s total consumption consists of simple footwear made entirely of non-leather materials and that for the remaining 40 percent only the upper part of the shoe is made of leather. In the manufacturing of footwear, most frequently used material consists upon leather, man-made materials, rubber / canvas / synthetic and textile along accessories. Different type of shoes are being produced by the local industry e.g. sportsmen, army, disabled persons and safety shoes for the industrial workers etc. The population of Pakistan is expected to be about 172 million in the year 2010. Keeping in view the growth in population, the growth in the demand of footwear industry is also anticipated.

China is the largest footwear producing country, as well as the largest country producing the footwear manufacturing waste. In order to achieve sustainable development in the footwear industry, we should pay attention to their environmental effect seriously. Therefore, by applying life-cycle assessment (LCA) protocol, we aimed to explore the effect of the manufacturing process on the environment of a classical style of pump shoes. Following guidelines of ISO 14010, we first determined the objective and the scope of this study; then, we collected input and output data from the shoe producing line of a shoe-making enterprise in Wenzhou, China; afterwards, we applied eFootprint software for LCA modeling; finally, we chose three LCA indicators for further analysis: Global Warming Potential (GWP, kg CO2 eq), Primary Energy Demand (PED, MJ) and Abiotic Depletion Potential (ADP, kg Sb eq). Our results show that by producing one pair of pump shoes, the manufacturing process will emit 11.427 Kg CO2 eq in terms of GWP, 232.621MJ in PED and 6.291×10-5Kg sb eq in ADP. Hence, by multiplying the number of shoes produced in China, negative environmental influences from shoe making industry were also dramatic. According to further contribution rate of all process, we found that materials such as the water-based binder and the plastic last used in manufacturing process accounted for the major reason. Overall, while considering the environmental effects from the shoe manufacturing process, we shall not ignore the environmental impact whilst producing the binder and the last. Moreover, by reducing binder usage or updating the shoe making technology, and recycling the last can be an efficient way to reduce the environmental effects from the shoe making industry.

This paper seeks to deepen understanding of EU trade defence measures and their impacts by looking at two particular cases of their use against low-cost imports of Chinese textiles and footwear. The paper highlights, on the one hand, the difficulty experienced by the EU Member States in reaching agreement in both of these cases due to the very different national economic interests involved and, on the other, the impacts of these measures on the market. Both the textiles restrictions and the footwear antidumping actions were followed by reductions in the growth rates of China’s exports to the EU. However, they were also followed by an increase in the exports of other low-cost developing country exporters. The key winners from these actions in trade terms seem to be other developing countries rather than EU domestic industry.

Impact force remains the primary cause of foot injury and general discomfort with regard to footwear. The footwear industry traditionally relies on modified elastomers (including natural rubber) whose properties can be physically adjusted by varying the constituents in the rubber formulations. This work aims to investigate the effect of filler/plasticizer fractions on shock attenuation of natural rubber soles. The statistical response surface method (RSM) was used to optimize the loading of natural rubber, fillers (carbon black and china clay) and a plasticizer (paraffinic oil). A novel predictive equation addressing the effects of additives on the physical and mechanical properties of the shoe sole was successfully created using the RSM. Our results demonstrate how the concentrations of these components regulate final properties, such as impact force absorption and hardness, in the commercial manufacture of shoe soles. While a higher loading level of plasticizer promotes reductions in hardness and impact force, as well as energy dissipation, in these modified elastomers, these properties were improved by increasing the filler content.

Export activities are important to the economic growth of the country, especially for developing countries. The city of Cilegon in Banten Province is the main city for the manufacturing industry in Indonesia, mainly for its iron and steel products. This study aims to determine the proportion of exported goods for the manufacturing industry in the City of Cilegon and make suggestions for further development. Data used are BPS publications 2016-2020, LQ is calculated to know the basis of the economic sector in the city. According to the calculation, the manufacturing industry in the City of Cilegon shares 59.70%, the highest among other regions. Commodities that dominated the export trade are footwear, plastic products, iron and steel products, while the US, China, and Japan were the countries that had the highest FOB. To escalate export performance and intensity, it is necessary to consider market and competitors’ networks, improvement of education and transport infrastructure, along with environmental and social-cultural impacts.

Synopsis Over the last two decades, Under Armour (UA) has emerged from being the “underdog” in the sports apparel and footwear industry to being a leader in the industry, with a fierce attention to performance and great skill at picking up-and-coming athletes who emerge as superstars. This case underscores its administrative heritage, competitive strategy, and growth potential as a global player in a highly competitive industry. It addresses the tension between being a performance brand while launching lines for women vs technology applications and conflicts between its growth strategy and macro-economic forces. It highlights areas in which it has succeeded against macro-economic forces and where it has not. Research methodology The research relies primarily on secondary sources and countless studies of UA and its major competitors. Primary research is based on databases, videos of UA’s Chief Executive Officer, Kevin Plank, and articles from Bloomberg to The Baltimore Sun (UA’s headquarters) on the history, growth and future of UA. It also includes observations and site visits to one of its signature brand house stores as well as intensive research and directed studies with students in the USA and China. Relevant courses and levels The case can be applied to undergraduate, graduate or executive business classes in: business policy and strategy; general management; (sports) marketing; leadership or organisational behaviour classes.

Although soil quality can be highly altered by mining activities, there are few reports on soil pollution in mining cities. We systematically characterized the heavy metals (HMs) pollution, risks, sources, and influencing factors in the surrounding soils of Shuozhou. Specifically, 146 samples were collected, and the potential ecological risk index (RI) and the single-factor index were jointly used to understand the environmental risk of HMs. Meanwhile, correlation analysis was applied to find the influencing factors of HMs. The results of the soil pollution risk assessment in the entire area of Shuozhou were compared with those in the open-pit mine area. (1) The mean concentrations of Cr, As, Cd, Pb, and Hg in our study were found to be higher than the background value. The RI results indicated that most soil samples (82.88%) in Shuozhou had a low potential ecological risk. Compared with the Pingshuo open-pit mine (average RI value: 200.07), the potential ecological RI was lower. (2) The HM correlation indicated that Cr and As were associated with the parent rock, whereas Cd, together with Hg and Pb, were associated with anthropic activities. (3) There was no significant correlation between HM concentrations and farmland slope. Located in the Datong Basin, the terrain of Shuozhou is relatively flat and open and has little impact on the distribution of HMs. (4) Only Hg and Pb have a negative correlation with pH. This suggests that soil with a lower pH value may be beneficial to the accumulation of Hg and Pb in soil. (5) Among the eight industry types examined, the pollution capacity level of the leather, fur, feather, and footwear industries is the strongest, indicating that HMs around LI industry sites represent the maximum level among the eight types.

Subject area Ethical decision making, business ethics. Study level/applicability This case is applicable to MBA, EDP and EMBA courses. Case overview TOREAD, a professional provider of outdoor equipment in China, started in business by producing and selling tents. To meet market demand, TOREAD expanded its product line which ranges from outdoor durable tent products to “pan-outdoor” products including footwear and clothing. During the critical expansion phase, TOREAD was challenged by a quality problem in a batch of outsourced sandals that had been manufactured by a contracted supplier. By researching different options and going through an ethical decision making process, TOREAD made the choice of destroying all “problem sandals”. Since then, TOREAD has focused development on product quality improvement and product innovation to establish a sustainable brand image and generate social benefits. TOREAD's decision making in the critical development phase helped it to become the leader in the outdoor product industry in China. Expected learning outcomes This case may be used for courses such as business ethics and strategy. By learning this case, students can understand the process of making ethical decisions when facing moral dilemmas among corporate decision makers, employees and relevant interested parties, and learn how to make strategic decisions to balance company profit growth and social benefits in critical development phases. Supplementary materials Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Water footprint (WF) is a newly developed idea that indicates impacts of freshwater appropriation and wastewater discharge. The textile industry is one of the oldest, longest and most complicated industrial chains in the world's manufacturing industries. However, the textile industry is also water intensive. In this paper, we applied a bottom-up approach to estimate the direct blue water footprint (WFdir,blue) and direct grey water footprint (WFdir,grey) of China's textile industry at sector level based on WF methodology. The results showed that WFdir,blue of China's textile industry had an increasing trend from 2001 to 2010. The annual WFdir,blue surpassed 0.92 Gm3/yr (giga cubic meter a year) since 2004 and rose to peak value of 1.09 Gm3/yr in 2007. The original and residuary WFdir,grey (both were calculated based on the concentration of chemical oxygen demand (CODCr)) of China's textile industry had a similar variation trend with that of WFdir,blue. Among the three sub-sectors of China's textile industry, the manufacture of textiles sector's annual WFdir,blue and WFdir,grey were much larger than those of the manufacture of textile wearing apparel, footware and caps sector and the manufacture of chemical fibers sector. The intensities of WFdir,blue and WFresdir,grey of China's textile industry were year by year decreasing through the efforts of issuing restriction policies on freshwater use and wastewater generation and discharge, and popularization of water saving and wastewater treatment technologies.

Abstract Heavy metal (HM) in industrial wastewater has been one of the serious environmental issues in China for a long time. This paper analyzes the distribution of HMs and governance input efficiency in industrial wastewater based on the archival data of China Statistical Yearbook on Environment from 2001 to 2014. The empirical analysis shows that the concentrations of Hg, Cd, Pb, As, and Cr(VI) generally decreased from 2001 to 2014. The emissions of Hg, Cd, Pb, and As are mostly concentrated in the central provinces (i.e., Hunan, Hubei, Jiangxi), the southern provinces (i.e., Guangxi and Guangdong), and the northern provinces (i.e., Gansu and Inner Mongolia). The distribution pattern is closely related to local industry due to resources dependence, such as mining and processing of non-ferrous metal ores, smelting and pressing of ferrous or non-ferrous metals. Cr(VI) is mainly located in the eastern coastal provinces, including Zhejiang and Jiangsu, and caused by manufacturing industries such as automobile, metal products, leather, fur, feather and related products, and footware. Furthermore, we find that the annual expenditure on and the capacity to deal with industrial wastewater play significant negative effects on reducing HM concentrations in industrial wastewater.

While there are heated debates about how digitalization affects production, management and consumption in the context of global value chains, less attention is paid to how workers use digital technologies to organize and formulate demands and hence exercise power. This paper explores how workers in supplier factories in global value chains use different digital tools to exercise and enhance their power resources to improve working conditions. Combining the global value chain framework and concepts from labour sociology on worker power, the paper uses examples from the garment industry in Honduras and the footwear industry in China to show how workers used old and new digital tools to create and enhance associational and networked powers. Digital tools were used by workers and their allies in the global value chain to lower costs of communication, increase information exchange and participate in transnational campaigns during labour struggles vis-à-vis firms and governments in structurally and politically repressive environments. The paper contributes to our understanding of how workers use of digital technologies to exercise and combine different resources of power in online and offline actions in global value chains, as well as how they are confronted by new dimensions of constrains which include digital surveillance and control by the state.

This study discusses the relationship between inter-organizational paradox management, national business systems and global value chains. Using case study evidence from a global value chain in the footwear industry (in Germany and China), we analyse how different businesses in the chain responded to the paradoxical tension arising from the competing demands to provide a living wage to workers and to uphold financial performance. Our findings highlight organizational responses to this paradox along the value chain, showing how these responses were shaped by the interplay of different types of pressures exerted by national business systems and the value chain itself. While these pressures were aligned in the German part of the chain, they were not aligned on the Chinese side. The study makes two contributions: (1) we develop a taxonomy outlining how the alignment of different types of pressures influences whether organizations choose either proactive or defensive paradox management; and (2) we argue that theorizing the impacts of cross-national distance on paradox management can be enhanced by adopting a multidimensional approach to institutional variety that extends beyond culture-based arguments.

Introduction The accelerometer seems, at first, both advanced and dated, both too complex and not complex enough. It sits in our video game controllers and our smartphones allowing us to move beyond mere button presses into immersive experiences where the motion of the hand is directly translated into the motion on the screen, where our flesh is transformed into the flesh of a superhero. Or at least that was the promise in 2005. Since then, motion control has moved from a promised revitalization of the video game industry to a not-quite-good-enough gimmick that all games use but none use well. Rogers describes the diffusion of innovation, as an invention or technology comes to market, in five phases: First, innovators will take risks with a new invention. Second, early adopters will establish a market and lead opinion. Third, the early majority shows that the product has wide appeal and application. Fourth, the late majority adopt the technology only after their skepticism has been allayed. Finally the laggards adopt the technology only when no other options are present (62). Not every technology makes it through the diffusion, however, and there are many who have never warmed to the accelerometer-controlled video game. Once an innovation has moved into the mainstream, additional waves of innovation may take place, when innovators or early adopters may find new uses for existing technology, and bring these uses into the majority. This is the case with the accelerometer that began as an airbag trigger and today is used for measuring and augmenting human motion, from dance to health (Walter 84). In many ways, gestural control of video games, an augmentation technology, was an interlude in the advancement of motion control. History In the early 1920s, bulky proofs-of-concept were produced that manipulated electrical voltage levels based on the movement of a probe, many related to early pressure or force sensors. The relationships between pressure, force, velocity and acceleration are well understood, but development of a tool that could measure one and infer the others was a many-fronted activity. Each of these individual sensors has its own specific application and many are still in use today, as pressure triggers, reaction devices, or other sensor-based interactivity, such as video games (Latulipe et al. 2995) and dance (Chu et al. 184). Over the years, the probes and devices became smaller and more accurate, and eventually migrated to the semiconductor, allowing the measurement of acceleration to take place within an almost inconsequential form-factor. Today, accelerometer chips are in many consumer devices and athletes wear battery-powered wireless accelerometer bracelets that report their every movement in real-time, a concept unimaginable only 20 years ago. One of the significant initial uses for accelerometers was as a sensor for the deployment of airbags in automobiles (Varat and Husher 1). The sensor was placed in the front bumper, detecting quick changes in speed that would indicate a crash. The system was a significant advance in the safety of automobiles, and followed Rogers’ diffusion through to the point where all new cars have airbags as a standard component. Airbags, and the accelerometers which allow them to function fast enough to save lives, are a ubiquitous, commoditized technology that most people take for granted, and served as the primary motivating factor for the mass-production of silicon-based accelerometer chips. On 14 September 2005, a device was introduced which would fundamentally alter the principal market for accelerometer microchips. The accelerometer was the ADXL335, a small, low-power, 3-Axis device capable of measuring up to 3g (1g is the acceleration due to gravity), and the device that used this accelerometer was the Wii remote, also called the Wiimote. Developed by Nintendo and its holding companies, the Wii remote was to be a defining feature of Nintendo’s 7th-generation video game console, in direct competition with the Xbox 360 and the Playstation 3. The Wii remote was so successful that both Microsoft and Sony added motion control to their platforms, in the form of the accelerometer-based “dual shock” controller for the Playstation, and later the Playstation Move controller; as well as an integrated accelerometer in the Xbox 360 controller and the later release of the Microsoft Kinect 3D motion sensing camera. Simultaneously, computer manufacturing companies saw a different, more pedantic use of the accelerometer. The primary storage medium in most computers today is the Hard Disk Drive (HDD), a set of spinning platters of electro-magnetically stored information. Much like a record player, the HDD contains a “head” which sweeps back and forth across the platter, reading and writing data. As computers changed from desktops to laptops, people moved their computers more often, and a problem arose. If the HDD inside a laptop was active when the laptop was moved, the read head might touch the surface of the disk, damaging the HDD and destroying information. Two solutions were implemented: vibration dampening in the manufacturing process, and the use of an accelerometer to detect motion. When the laptop is bumped, or dropped, the hard disk will sense the motion and immediately park the head, saving the disk and the valuable data inside. As a consequence of laptop computers and Wii remotes using accelerometers, the market for these devices began to swing from their use within car airbag systems toward their use in computer systems. And with an accelerometer in every computer, it wasn’t long before clever programmers began to make use of the information coming from the accelerometer for more than just protecting the hard drive. Programs began to appear that would use the accelerometer within a laptop to “lock” it when the user was away, invoking a loud noise like a car alarm to alert passers-by to any potential theft. Other programmers began to use the accelerometer as a gaming input, and this was the beginning of gesture control and the augmentation of human motion. Like laptops, most smartphones and tablets today have accelerometers included among their sensor suite (Brezmes et al. 796). These accelerometers strictly a user-interface tool, allowing the phone to re-orient its interface based on how the user is holding it, and allowing the user to play games and track health information using the phone. Many other consumer electronic devices use accelerometers, such as digital cameras for image stabilization and landscape/portrait orientation. Allowing a device to know its relative orientation and motion provides a wide range of augmentation possibilities. The Language of Measuring Motion When studying accelerometers, their function, and applications, a critical first step is to examine the language used to describe these devices. As the name implies, the accelerometer is a device which measures acceleration, however, our everyday connotation of this term is problematic at best. In colloquial language, we say “accelerate” when we mean “speed up”, but this is, in fact, two connotations removed from the physical property being measured by the device, and we must unwrap these layers of meaning before we can understand what is being measured. Physicists use the term “accelerate” to mean any change in velocity. It is worth reminding ourselves that velocity (to the physicists) is actually a pair of quantities: a speed coupled with a direction. Given this definition, when an object changes velocity (accelerates), it can be changing its speed, its direction, or both. So a car can be said to be accelerating when speeding up, slowing down, or even turning while maintaining a speed. This is why the accelerometer could be used as an airbag sensor in the first place. The airbags should deploy when a car suddenly changes velocity in any direction, including getting faster (due to being hit from behind), getting slower (from a front impact crash) or changing direction (being hit from the side). It is because of this ability to measure changes in velocity that accelerometers have come into common usage for laptop drop sensors and video game motion controllers. But even this understanding of accelerometers is incomplete. Because of the way that accelerometers are constructed, they actually measure “proper acceleration” within the context of a relativistic frame of reference. Discussing general relativity is beyond the scope of this paper, but it is sufficient to describe a relativistic frame of reference as one in which no forces are felt. A familiar example is being in orbit around the planet, when astronauts (and their equipment) float freely in space. A state of “free-fall” is one in which no forces are felt, and this is the only situation in which an accelerometer reads 0 acceleration. Since most of us are not in free-fall most of the time, any accelerometers in devices in normal use do not experience 0 proper acceleration, even when apparently sitting still. This is, of course, because of the force due to gravity. An accelerometer sitting on a table experiences 1g of force from the table, acting against the gravitational acceleration. This non-zero reading for a stationary object is the reason that accelerometers can serve a second (and, today, much more common) use: measuring orientation with respect to gravity. Gravity and Tilt Accelerometers typically measure forces with respect to three linear dimensions, labeled x, y, and z. These three directions orient along the axes of the accelerometer chip itself, with x and y normally orienting along the long faces of the device, and the z direction often pointing through the face of the device. Relative motion within a gravity field can easily be inferred assuming that the only force acting on the device is gravity. In this case, the single force is distributed among the three axes depending on the orientation of the device. This is how personal smartphones and video game controllers are able to use “tilt” control. When held in a natural position, the software extracts the relative value on all three axes and uses that as a reference point. When the user tilts the device, the new direction of the gravitational acceleration is then compared to the reference value and used to infer the tilt. This can be done hundreds of times a second and can be used to control and augment any aspect of the user experience. If, however, gravity is not the only force present, it becomes more difficult to infer orientation. Another common use for accelerometers is to measure physical activity like walking steps. In this case, it is the forces on the accelerometer from each footfall that are interpreted to measure fitness features. Tilt is unreliable in this circumstance because both gravity and the forces from the footfall are measured by the accelerometer, and it is impossible to separate the two forces from a single measurement. Velocity and Position A second common assumption with accelerometers is that since they can measure acceleration (rate of change of velocity), it should be possible to infer the velocity. If the device begins at rest, then any measured acceleration can be interpreted as changes to the velocity in some direction, thus inferring the new velocity. Although this is theoretically possible, real-world factors come in to play which prevent this from being realized. First, the assumption of beginning from a state of rest is not always reasonable. Further, if we don’t know whether the device is moving or not, knowing its acceleration at any moment will not help us to determine it’s new speed or position. The most important real-world problem, however, is that accelerometers typically show small variations even when the object is at rest. This is because of inaccuracies in the way that the accelerometer itself is interpreted. In normal operation, these small changes are ignored, but when trying to infer velocity or position, these little errors will quickly add up to the point where any inferred velocity or position would be unreliable. A common solution to these problems is in the combination of devices. Many new smartphones combine an accelerometer and a gyroscopes (a device which measures changes in rotational inertia) to provide a sensing system known as an IMU (Inertial measurement unit), which makes the readings from each more reliable. In this case, the gyroscope can be used to directly measure tilt (instead of inferring it from gravity) and this tilt information can be subtracted from the accelerometer reading to separate out the motion of the device from the force of gravity. Augmentation Applications in Health, Gaming, and Art Accelerometer-based devices have been used extensively in healthcare (Ward et al. 582), either using the accelerometer within a smartphone worn in the pocket (Yoshioka et al. 502) or using a standalone accelerometer device such as a wristband or shoe tab (Paradiso and Hu 165). In many cases, these devices have been used to measure specific activity such as swimming, gait (Henriksen et al. 288), and muscular activity (Thompson and Bemben 897), as well as general activity for tracking health (Troiano et al. 181), both in children (Stone et al. 136) and the elderly (Davis and Fox 581). These simple measurements are the first step in allowing athletes to modify their performance based on past activity. In the past, athletes would pour over recorded video to analyze and improve their performance, but with accelerometer devices, they can receive feedback in real time and modify their own behaviour based on these measurements. This augmentation is a competitive advantage but could be seen as unfair considering the current non-equal access to computer and electronic technology, i.e. the digital divide (Buente and Robbin 1743). When video games were augmented with motion controls, many assumed that this would have a positive impact on health. Physical activity in children is a common concern (Treuth et al. 1259), and there was a hope that if children had to move to play games, an activity that used to be considered a problem for health could be turned into an opportunity (Mellecker et al. 343). Unfortunately, the impact of children playing motion controlled video games has been less than successful. Although fitness games have been created, it is relatively easy to figure out how to activate controls with the least possible motion, thereby nullifying any potential benefit. One of the most interesting applications of accelerometers, in the context of this paper, is the application to dance-based video games (Brezmes et al. 796). In these systems, participants wear devices originally intended for health tracking in order to increase the sensitivity and control options for dance. This has evolved both from the use of accelerometers for gestural control in video games and for measuring and augmenting sport. Researchers and artists have also recently used accelerometers to augment dance systems in many ways (Latulipe et al. 2995) including combining multiple sensors (Yang et al. 121), as discussed above. Conclusions Although more and more people are using accelerometers in their research and art practice, it is significant that there is a lack of widespread knowledge about how the devices actually work. This can be seen in the many art installations and sports research studies that do not take full advantage of the capabilities of the accelerometer, or infer information or data that is unreliable because of the way that accelerometers behave. This lack of understanding of accelerometers also serves to limit the increased utilization of this powerful device, specifically in the context of augmentation tools. Being able to detect, analyze and interpret the motion of a body part has significant applications in augmentation that are only starting to be realized. The history of accelerometers is interesting and varied, and it is worthwhile, when exploring new ideas for applications of accelerometers, to be fully aware of the previous uses, current trends and technical limitations. It is clear that applications of accelerometers to the measurement of human motion are increasing, and that many new opportunities exist, especially in the application of combinations of sensors and new software techniques. The real novelty, however, will come from researchers and artists using accelerometers and sensors in novel and unusual ways. References Brezmes, Tomas, Juan-Luis Gorricho, and Josep Cotrina. “Activity Recognition from Accelerometer Data on a Mobile Phone.” In Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. Springer, 2009. Buente, Wayne, and Alice Robbin. “Trends in Internet Information Behavior, 2000-2004.” Journal of the American Society for Information Science and Technology 59.11 (2008).Chu, Narisa N.Y., Chang-Ming Yang, and Chih-Chung Wu. “Game Interface Using Digital Textile Sensors, Accelerometer and Gyroscope.” IEEE Transactions on Consumer Electronics 58.2 (2012): 184-189. Davis, Mark G., and Kenneth R. Fox. “Physical Activity Patterns Assessed by Accelerometry in Older People.” European Journal of Applied Physiology 100.5 (2007): 581-589.Hagstromer, Maria, Pekka Oja, and Michael Sjostrom. “Physical Activity and Inactivity in an Adult Population Assessed by Accelerometry.” Medical Science and Sports Exercise. 39.9 (2007): 1502-08. Henriksen, Marius, H. Lund, R. Moe-Nilssen, H. Bliddal, and B. Danneskiod-Samsøe. “Test–Retest Reliability of Trunk Accelerometric Gait Analysis.” Gait & Posture 19.3 (2004): 288-297. Latulipe, Celine, David Wilson, Sybil Huskey, Melissa Word, Arthur Carroll, Erin Carroll, Berto Gonzalez, Vikash Singh, Mike Wirth, and Danielle Lottridge. “Exploring the Design Space in Technology-Augmented Dance.” In CHI’10 Extended Abstracts on Human Factors in Computing Systems. ACM, 2010. Mellecker, Robin R., Lorraine Lanningham-Foster, James A. Levine, and Alison M. McManus. “Energy Intake during Activity Enhanced Video Game Play.” Appetite 55.2 (2010): 343-347. Paradiso, Joseph A., and Eric Hu. “Expressive Footwear for Computer-Augmented Dance Performance.” In First International Symposium on Wearable Computers. IEEE, 1997. Rogers, Everett M. Diffusion of Innovations. New York: Free Press of Glencoe, 1962. Stone, Michelle R., Ann V. Rowlands, and Roger G. Eston. "Relationships between Accelerometer-Assessed Physical Activity and Health in Children: Impact of the Activity-Intensity Classification Method" The Free Library 1 Mar. 2009. Thompson, Christian J., and Michael G. Bemben. “Reliability and Comparability of the Accelerometer as a Measure of Muscular Power.” Medicine and Science in Sports and Exercise. 31.6 (1999): 897-902.Treuth, Margarita S., Kathryn Schmitz, Diane J. Catellier, Robert G. McMurray, David M. Murray, M. Joao Almeida, Scott Going, James E. Norman, and Russell Pate. “Defining Accelerometer Thresholds for Activity Intensities in Adolescent Girls.” Medicine and Science in Sports and Exercise 36.7 (2004):1259-1266Troiano, Richard P., David Berrigan, Kevin W. Dodd, Louise C. Masse, Timothy Tilert, Margaret McDowell, et al. “Physical Activity in the United States Measured by Accelerometer.” Medicine and Science in Sports and Exercise, 40.1 (2008):181-88. Varat, Michael S., and Stein E. Husher. “Vehicle Impact Response Analysis through the Use of Accelerometer Data.” In SAE World Congress, 2000. Walter, Patrick L. “The History of the Accelerometer”. Sound and Vibration (Mar. 1997): 16-22. Ward, Dianne S., Kelly R. Evenson, Amber Vaughn, Anne Brown Rodgers, Richard P. Troiano, et al. “Accelerometer Use in Physical Activity: Best Practices and Research Recommendations.” Medicine and Science in Sports and Exercise 37.11 (2005): S582-8. Yang, Chang-Ming, Jwu-Sheng Hu, Ching-Wen Yang, Chih-Chung Wu, and Narisa Chu. “Dancing Game by Digital Textile Sensor, Accelerometer and Gyroscope.” In IEEE International Games Innovation Conference. IEEE, 2011.Yoshioka, M., M. Ayabe, T. Yahiro, H. Higuchi, Y. Higaki, J. St-Amand, H. Miyazaki, Y. Yoshitake, M. Shindo, and H. Tanaka. “Long-Period Accelerometer Monitoring Shows the Role of Physical Activity in Overweight and Obesity.” International Journal of Obesity 29.5 (2005): 502-508.