The simple task of grasping objects has been studied for centuries by scientists, therapists and engineers who have tried to understand and duplicate the versatility of the human hand. Using an interdisciplinary approach and new framework for looking at prehension, the authors uncover the subleties of the amazing interaction between the hand and the brain. They draw from such diverse fields as experimental psychology, kinesiology, robotics, neural networks, artificial intelligence, neuropsychology and rehabilitation. A triangle strategy is presented, starting from conceptual models that suggest both experimental and computational models. Chapters describe the multiple postures established by the hand, phases in the dynamic process of reaching for, grasping and manipulating various objects, and the constraints acting on such activity.Appendices provide the complete anatomy of the upper limb, the basics of computational modelling, and the fundamentals of prosthetic and dextrous robot hands. The ultimate goal of this book is to develop a common vocabularly for multidisciplinary researchers who strive to understand a system as complex as the hand under the control of the human brain.

In 2005, the Supreme Court ruled that the city of New London, Connecticut, could condemn fifteen residential properties in order to transfer them to a new private owner. Although the Fifth Amendment only permits the taking of private property for “public use,” the Court ruled that the transfer of condemned land to private parties for “economic development” is permitted by the Constitution—even if the government cannot prove that the expected development will ever actually happen. The Court’s decision in Kelo v. City of New London empowered the grasping hand of the state at the expense of the invisible hand of the market. In this detailed study of one of the most controversial Supreme Court cases in modern times, Ilya Somin argues that Kelo was a grave error. Economic development and “blight” condemnations are unconstitutional under both originalist and most “living constitution” theories of legal interpretation. They also victimize the poor and the politically weak for the benefit of powerful interest groups and often destroy more economic value than they create. Kelo itself exemplifies these patterns. The residents targeted for condemnation lacked the influence needed to combat the formidable government and corporate interests arrayed against them. Moreover, the city’s poorly conceived development plan ultimately failed: the condemned land lies empty to this day, occupied only by feral cats. The Supreme Court’s unpopular ruling triggered an unprecedented political reaction, with forty-five states passing new laws intended to limit the use of eminent domain. But many of the new laws impose few or no genuine constraints on takings. The Kelo backlash led to significant progress, but not nearly as much as it may have seemed. Despite its outcome, the closely divided 5-4 ruling shattered what many believed to be a consensus that virtually any condemnation qualifies as a public use under the Fifth Amendment. It also showed that there is widespread public opposition to eminent domain abuse. With controversy over takings sure to continue, The Grasping Hand offers the first book-length analysis of Kelo by a legal scholar, alongside a broader history of the dispute over public use and eminent domain and an evaluation of options for reform.

In this paper, we present a deciding technique for robotic dexterous hand configurations. This algorithm can be used to decide on how to configure a robotic hand so it can grasp objects in different scenarios. Receiving as input, several sensor signals that provide information on the object’s shape, the DSmT decision-making algorithm passes the information through several steps before deciding what hand configuration should be used for a certain object and task.

The human hand and its dexterity in grasping and manipulating objects are some of the hallmarks of the human species. For years, anatomic and biomechanical studies have deepened the understanding of the human hand’s functioning and, in parallel, the robotics community has been working on the design of robotic hands capable of manipulating objects with a performance similar to that of the human hand. However, although many researchers have partially studied various aspects, to date there has been no comprehensive characterization of the human hand’s function for grasping and manipulation of everyday life objects. This monograph explores the hypothesis that the confluence of both scientific fields, the biomechanical study of the human hand and the analysis of robotic manipulation of objects, would greatly benefit and advance both disciplines through simulation. Therefore, in this book, the current knowledge of robotics and biomechanics guides the design and implementation of a simulation framework focused on manipulation interactions that allows the study of the grasp through simulation. As a result, a valuable framework for the study of the grasp, with relevant applications in several fields such as robotics, biomechanics, ergonomics, rehabilitation and medicine, has been made available to these communities.

This book presents guidelines for a future device type: a tablet that allows ergonomic front- and back-of-device interaction. These guidelines help designers and developers of user interfaces to build ergonomic applications for tablet devices, in particular for devices that enable back-of-device interaction. In addition, manufacturers of tablet devices obtain arguments that back-of-device interaction is a promising extension of the interaction design space and results in increased input capabilities, enriched design possibilities, and proven usability. The guidelines are derived from empirical studies and developed to fit the users’ skills to the way the novel device type is held. Three particular research areas that are relevant to develop design guidelines for tablet interaction are investigated: ergonomic gestures, interaction areas, and pointing techniques.

''Shared Grasping'' describes a new approach to shared autonomy for grasping and manipulation tasks to be used in a telepresence system. It is realized with two assistance functionalities, which simplify the grasping, and a user interface, which merges haptic feedback and visual assistance. User studies confirm a reduction in operator workload and an increase in task performance while maintaining a high immersion of the operator into the remote environment when using the assistance functions.

This volume presents a variety of studies relating to the reach to grasp movement and provides a necessary and valuable contribution to the field of motor control. The professions covered in this book range from those interested in the basic sciences to those more interested in practical application. Neurophysiologists and biomechanists join with therapists and neural modelers to present an extensive overview of current developments. Evolutionary and developmental aspects are included together with descriptions of how this movement is affected by central nervous system damage. Purely theoretical aspects of the motor control of this movement are interspersed with treatment applications and robotics.

This book constitutes the thoroughly refereed post-workshop proceedings of the Third IAPR TC3 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of the International Conference on Pattern Recognition, ICPR 2014. The 14 revised papers presented focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition, user identification, and recognition of human activities.

This book presents interdisciplinary research that pursues the mutual enrichment of neuroscience and robotics. Building on experimental work, and on the wealth of literature regarding the two cortical pathways of visual processing - the dorsal and ventral streams - we define and implement, computationally and on a real robot, a functional model of the brain areas involved in vision-based grasping actions. Grasping in robotics is largely an unsolved problem, and we show how the bio-inspired approach is successful in dealing with some fundamental issues of the task. Our robotic system can safely perform grasping actions on different unmodeled objects, denoting especially reliable visual and visuomotor skills. The computational model and the robotic experiments help in validating theories on the mechanisms employed by the brain areas more directly involved in grasping actions. This book offers new insights and research hypotheses regarding such mechanisms, especially for what concerns the interaction between the dorsal and ventral streams. Moreover, it helps in establishing a common research framework for neuroscientists and roboticists regarding research on brain functions.

Reaching for objects in our surroundings is an everyday activity that most humans perform seamlessly a hundred times a day. It is nonetheless a complex behavior that requires the perception of objects’ features, action selection, movement planning, multi-joint coordination, force regulation, and the integration of all of these properties during the actions themselves to meet the successful demands of extremely varied task goals. Even though reach-to-grasp behavior has been studied for decades, it has, in recent years, become a particularly growing area of multidisciplinary research because of its crucial role in activities of daily living and broad range of applications to other fields, including physical rehabilitation, prosthetics, and robotics. This volume brings together novel and exciting research that sheds light into the complex sensory-motor processes involved in the selection and production of reach-to-grasp behaviors. It also offers a unique life-span and multidisciplinary perspective on the development and multiple processes involved in the formation of reach-to-grasp. It covers recent and exciting discoveries from the fields of developmental psychology and learning sciences, neurophysiology and brain sciences, movement sciences, and the dynamic field of developmental robotics, which has become a very active applied field relying on biologically inspired models. This volume is a rich and valuable resource for students and professionals in all of these research fields, as well as cognitive sciences, rehabilitation, and other applied sciences.