Search results

The purpose of this paper is to propose a method for hand measurement based on image and marker watershed algorithm, and combine the data to analyze the shape and characteristics of the hand.

A portable hand image capturing instrument was designed and manufactured, and the hand images and dimensions of 328 young men in Zhejiang area were obtained. The outer contour curve of the hand and the key points of finger root, fingertip, wrist and knuckle position were extracted. Then, the size of each hand part was calculated. The hand data obtained from the two-dimensional image was compared with the manual measurement data. Finally, the hands were classified according to the measurement data, and the relationship between hand control size and hand length, hand width and the relationship between hand length and height were explored.

The data comparison results show that the two measurement methods have high data consistency and are replaceable. In addition, analyzing the data obtained four major characteristic factors that affect the shape of the hand, divided the hands of young men in Zhejiang into five categories, and obtained the regression equations of basic hand size, hand length and hand width, and obtained the regression equation of hand length and height.

The method proposed in this study to obtain hand size based on the image and mark watershed algorithm has lower requirements on the external environment and testers, conforms to the development trend of applying artificial intelligence to anthropometric engineering and provides a useful reference value for data collection of gloves specification design. In addition, the results of data analysis can provide a valuable reference basis for consumer hand shape predictions, which can be used to guide the research and production of hand instruments, the design of specifications series and the purchase of hand products.

Hand gesture-based interaction can provide far more intuitive, natural and immersive feelings for users to manipulate 3D objects for virtual assembly (VA). A mechanical assembly consists of mostly general-purpose machine elements or mechanical parts that can be defined into four types based on their geometric features and functionalities. For different types of machine elements, engineers formulate corresponding grasping gestures based on their domain knowledge or customs for ease of assembly. Therefore, this paper aims to support a virtual hand to assemble mechanical parts.

It proposes a novel glove-based virtual hand grasping approach for virtual mechanical assembly. The kinematic model of virtual hand is set up first by analyzing the hand structure and possible movements, and then four types of grasping gestures are defined with joint angles of fingers for connectors and three types of parts, respectively. The recognition of virtual hand grasping is developed based on collision detection and gesture matching. Moreover, stable grasping conditions are discussed.

A prototype system is designed and developed to implement the proposed approach. The case study on VA of a two-stage gear reducer demonstrates the functionality of the system. From the users’ feedback, it is found that more natural and stable hand grasping interaction for VA of mechanical parts can be achieved.

It proposes a novel glove-based virtual hand grasping approach for virtual mechanical assembly.

This paper aims to present a new approach for robot programming by demonstration, which generates robot programs by tracking 6 dimensional (6D) pose of the demonstrator’s hand using a single red green blue (RGB) camera without requiring any additional sensors.

The proposed method learns robot grasps and trajectories directly from a single human demonstration by tracking the movements of both human hands and objects. To recover the 6D pose of an object from a single RGB image, a deep learning–based method is used to detect the keypoints of the object first and then solve a perspective-n-point problem. This method is first extended to estimate the 6D pose of the nonrigid hand by separating fingers into multiple rigid bones linked with hand joints. The accurate robot grasp can be generated according to the relative positions between hands and objects in the 2 dimensional space. Robot end-effector trajectories are generated from hand movements and then refined by objects’ start and end positions.

Experiments are conducted on a FANUC LR Mate 200iD robot to verify the proposed approach. The results show the feasibility of generating robot programs by observing human demonstration once using a single RGB camera.

The proposed approach provides an efficient and low-cost robot programming method with a single RGB camera. A new 6D hand pose estimation approach, which is used to generate robot grasps and trajectories, is developed.

The purpose of this paper is to examine the effects of interaction techniques (e.g. swiping and tapping) and the range of thumb movement on interactivity, engagement, attitude, and behavioral intention in single-handed interaction with smartphones.

A 2×2 between-participant experiment (technological features: swiping and tapping×range of thumb movement: wide and narrow) was conducted to study the effects of interaction techniques and thumb movement ranges.

The results showed that the range of thumb movement had significant effects on perceived interactivity, engagement, attitude, and behavioral intention, whereas no effects were observed for interaction techniques. A narrow range of thumb movement had more influence on the interactivity outcomes in comparison to a wide range of thumb movement.

While the subject of actual and perceived interactivity has been discussed, the issue has not been applied to smartphone. Based on the research results, the mobile industry may come up with a design strategy that balances feature- and perception-based interactivity.

This study adopted the perspective of the hybrid definition of interactivity, which includes both actual and perceived interactivity. Interactivity effect outcomes mediated by perceived interactivity.

The authors examine the determinants of ESG disclosure and differentiate between voluntary and mandatory disclosure regimes in Hong Kong.

The authors analyse both Bloomberg ESG scores and a disclosure index score, manually constructed according to the 2019 Hong Kong Exchange ESG Guide using regression tests.

The results indicate that the level of concentrated ownership is negatively associated with the quantity of ESG disclosure only in the voluntary disclosure period, suggesting that agency problems are alleviated when ESG reporting is mandatory. The findings also show that larger firms significantly disclose higher levels of ESG information in both voluntary and mandatory disclosure periods. Furthermore, the extent of ESG disclosure significantly increases when firms' sustainability reports are audited by Big 4 accounting firms only in the voluntary disclosure period. Finally, the control variables are significantly related to the level of ESG disclosure showing that ESG disclosure increased over time and is significantly different among industries.

The authors make contributions to the literature on non-financial disclosure in relation to ESG reporting by examining the relationship between firm characteristics and ESG disclosure in the Hong Kong context under both voluntary and mandatory disclosure regimes. This study also provides important implications for other stock markets and relevant stakeholders including preparers, users and the sustainability profession.

The impact rapid prototyping (RP) can have on the design process and the product development process as a whole is demonstrated in this paper. The speed and flexibility of RP technologies decreased the overall time to complete the new product. This also ensured that the final mechanical enclosure of the new handheld video game incorporated the ergonomic design features that users desired.

The main purpose of this study is to examine the possibility of prediction of Greek takeover targets that belong to the industrial sector, emphasizing the econometric methodology and the prediction test.

The study uses a sample of 51 targets and 290 non‐targets exclusively from Greek industry over the period 1997‐2005. In order to achieve a better predictive accuracy the paper uses a new econometric methodology, the bootstrap mixed logit and different (more advanced) techniques of prediction test and choice of cutoff values.

The results exhibit that bootstrap mixed logit has significant and valuable predictive ability with respect to the classical conditional logit model. Furthermore, the predictive accuracy is higher than the results of other studies (e.g Palepu and Espahbodi and Espahbodi).

The main contribution of this study is the application of the bootstrap mixed logit in analyzing Greek takeovers. The results change the prediction variables as well as the determinants of the takeover target characteristics for the Greek industry. This is meaningful, not only for the investors that seek to increase the value of their fortune through acquisitions, but also for the managers that can detect if their firm might be considered a takeover target.

A central goal of strategic management is to understand why some organizations outperform others. Based on the literature, we test the links among strategic resources, firm’s strategic orientation, and performance using data from 1,201 Spanish small and medium‐sized enterprises. The results can guide managers to invest in the appropriate resources since there is evidence that technology, innovation, quality, and human resource management leads to better company performance. It is also shown how strategic resources varies according to strategic orientation.

This chapter critically analyzes the outcomes of a legal reform enacted in Bali to address unintended consequences of a World Bank policy that undermined women’s economic, legal, and human rights.

This qualitative exploratory inquiry employs ethnographic data including participant observations and 18 interviews conducted in Denpasar, Bali.

The analysis suggests that policy measures intended to empower women which fail to address the influence of gender in the formation and functioning of social institutions reinforce conceptualizations of gender that constrain women’s autonomy and reify patriarchal sociocultural institutions.

Conceptualizations of gender in post-conflict research have lagged behind the richness of theories pertaining to gender as a social structure. Incorporating analyses of gender ideologies into the research phase of policy development will bridge this gap between theory and application.

Calls for women’s empowerment in the wake of the collapse of central governance structures, such as in the Arab Spring, must be accompanied by attention of feminist researchers and activists ensuring that policy measures intended to address barriers to women’s equality move beyond conceptions of empowerment that privilege economic capital. Dominant frameworks employed by microcredit programs and legal reformers emphasizing economic independence without attending to structural causes of women’s marginalization run the ironic risk of more deeply entrenching harmful social institutions.

This project allows women’s voices to reciprocally transform social theories and practices, contributing to understandings of the influence of gender in legal reform efforts and gender as a social structure.

Provides information on the largest consumer market in the world – China. Examines education, age, lifestyle and demographics of the Chinese population. Considers Chinese perceptions of US products. Concludes that US companies′ success in China depends on target marketing, marketing inexpensive products, pricing in line with income, and promotion of the US origin of the product.