What is recognition and why is it so important? This book develops a synoptic conception of the significance of recognition in its many forms for human persons by means of a rational reconstruction and internal critique of classical and contemporary accounts. The book begins with a clarification of several fundamental questions concerning recognition. It then reconstructs the core ideas of Fichte, Hegel, Charles Taylor, Nancy Fraser, and Axel Honneth and utilizes the insights and conceptual tools developed (...) across these chapters for developing a case for the universal importance of recognition for humans. It argues in favour of a universalist anthropological position, unusual in the literature on recognition, that aims to construe a philosophically sound basis for a discourse of common humanity, or of a shared human life-form for which moral relations of recognition are essential. This synthetic conception of the importance of recognition provides tools for articulating deep intuitions shared across cultures about what makes human life and forms of human co-existence better or worse, and thus tools for mutual understanding about the deepest shared concerns of humanity, or of what makes us all human persons despite our differences. -/- Recognition and the Human Life-Form will appeal to readers interested in philosophical anthropology, social and political philosophy, critical theory, and the history of philosophy. It also provides ideas and conceptual tools for fields such as anthropology, education, disability studies, international relations, law, politics, religious studies, sociology, and social research. (shrink)

Mutually adaptive interaction involves the robot as a partner as opposed to a tool, and requires that the robot is susceptible to similar environmental cues and behavior patterns as humans are. Recognition, or the acknowledgement of the other as individual, is fundamental to mutually adaptive interaction between humans. We discuss what recognition involves and its behavioral manifestations, and describe the benefits of implementing it in HRI.

Mutually adaptive interaction involves the robot as a partner as opposed to a tool, and requires that the robot is susceptible to similar environmental cues and behavior patterns as humans are. Recognition, or the acknowledgement of the other as individual, is fundamental to mutually adaptive interaction between humans. We discuss what recognition involves and its behavioral manifestations, and describe the benefits of implementing it in HRI.

Personal narratives have become one of the most potent vehicles for advancing human rights claims across the world. Human Rights and Narrated Lives explores what happens when autobiographical narratives are produced, received, and circulated in the field of human rights. It asks how personal narratives emerge in local settings how international rights discourse enables and constrains individual and collective subjectivities in narration how personal narratives circulate and take on new meanings in new contexts and how and under (...) what conditions they feed into, affect, and are affected by the reorganization of politics in post-cold war, postcolonial, globalizing human rights contexts. (shrink)

Intentionalism is a research program that seeks to explain facts about meaning and communication in psychological terms, with our capacity for intention recognition playing a starring role. My aim here is to recommend a methodological reorientation in this program. Instead of a focus on intuitive counterexamples to proposals about necessary-and-sufficient conditions, we should aim to investigate the psychological mechanisms whose activities and interactions explain our capacity to communicate. Taking this methodologi- cal reorientation to heart, I sketch a theory of (...) the cognitive architecture underlying language use that I have defended elsewhere. I then show how this theory can be used to give an account of non-communicative language use—a phenomenon that has long posed a challenge to intentionalism. (shrink)

1 Matching Templates and Feature Analysers. 2 Modes of Perception in Left and Right Cerebral Hemispheres. 3 Identification and Recognition. 4 Chess Plying Machines.

Recent debates over the role of recognition by the community for one’s development and flourishing generally discuss community in a univocal sense: the way that recognition functions in particular communities is not fundamentally different from the way it functions in the larger community. They also tend to logically prioritize a fundamental human identity over particular religious, ethnic, or societal identities, which are understood to be secondary to, and derivative of, this basic identity. In his depiction of how (...) communal recognition contributes to individual selfhood, Søren Kierkegaard challenges these accounts by (1) differentiating between how communal recognition occurs in society in general and in one particular community, the Christian church and (2) questioning the idea that the self created in the former is more fundamental than that created in the latter. For Kierkegaard, one’s identities as both a Christian and a fully-developed self depend essentially on recognition by the Other: initially and fundamentally on recognition by God alone, and secondarily and derivatively on recognition by the human Other. (shrink)

This article examines recent controversies over the relationship between human rights and intellectual property rights (IPRs). Many activists have claimed that IPRs conflict with human rights. Others have argued that IPRs are themselves human rights. The article approaches the debate as an opportunity to clarify the nature of IPRs in relation to human rights, as well as the nature of contemporary struggles over these rights. After surveying the dual expansion of both human rights and IPRs (...) and rejecting the view that IPRs are rooted in human rights, the author investigates the example of the HIV/AIDS crisis and the global Campaign for Access to Essential Medicines in order to illustrate attempts to represent IPRs as an outright threat to human rights. Highlighting the limitations of a human rights-based critique of IPRs, he concludes by proposing to study contemporary conflicts over IPRs and human rights as struggles for recognition and as struggles over the institutionalization of a transnational “recognition order.”. (shrink)

This article examines the ethical framing of employment in contemporary human resource management (HRM). Using Axel Honneth's theory of recognition and classical critical notions of reification, I contrast recognition and reifying stances on labor. The recognition approach embeds work in its emotive and social particularity, positively affirming the basic dignity of social actors. Reifying views, by contrast, exhibit a forgetfulness of recognition, removing action from its existential and social moorings, and imagining workers as bundles of (...) discrete resources or capacities. After discussing why reification is a problem, I stress that recognition and reification embody different ethical standpoints with regards to organizational practices. Thus, I argue paradoxically that many current HRM best practices can be maintained while cultivating an attitude of recognition. If reification is a type of forgetting, cultivating a recognition attitude involves processes of "remembering" to foster work relations that reinforce employee dignity. (shrink)

Human motion gesture recognition is the most challenging research direction in the field of computer vision, and it is widely used in human-computer interaction, intelligent monitoring, virtual reality, human behaviour analysis, and other fields. This paper proposes a new type of deep convolutional generation confrontation network to recognize human motion pose. This method uses a deep convolutional stacked hourglass network to accurately extract the location of key joint points on the image. The generation and identification (...) part of the network is designed to encode the first hierarchy and the second hierarchy and show the spatial relationship of human body parts. The generator and the discriminator are designed as two parts in the network, and they are connected together in order to encode the possible relationship of appearance and, at the same time, the possibility of the existence of human body parts and the relationship between each part of the body and its parental part coding. In the image, the key nodes of the human body model and the general body posture can be identified more accurately. The method has been tested on different data sets. In most cases, the results obtained by the proposed method are better than those of other comparison methods. (shrink)

The acknowledgement of basic human vulnerability in relationships between mental health service users and professionals working in community-based mental health services (in Norway) was a starting point. The purpose was to explore how users of these services describe and make sense of their meetings with other people. The research is collaborative, with researcher and person with experienced-based knowledge cooperating through the research process. Data is derived from 19 interviews with 11 people who depend on mental health services for assistance (...) at least three times a week. Data is analysed according to the Interpretative Phenomenological Analysis (IPA). Results confirm that reciprocity is fundamental for relationships, and that recognizing the individual entails personal involvement. The participants describe a struggle, and recognizing this struggle may help the professional to achieve a deeper understanding of the individual. (shrink)

Beginning with Margaret Somers and Christopher Roberts’ review of the sociology of human rights and Bryan Turner and Malcolm Waters’ debate therein, the author presents some of the questions which have been so far been the focus of this sociological sub-discipline. This review raises the question of ‘rights’ as a subject of study, and the normative consequences therein. From here, the author introduces recognition theory as a potential participant in these discussions around human rights. The author traces (...) recognition theory from its Hegelian origins to the work of Axel Honneth, and the critiques of Nancy Fraser, Frantz Fanon, and Glen Sean Coulthard. Despite Fanon and Coulthard’s critical accounts, they reinforce the value of recognition within any sociology of human rights. Lastly, the author briefly engages with Alasdair MacIntyre as both a dialogical participant, and a means towards dialogue in the first place between recognition theory and human rights. Concluding, the author argues that the normative and descriptive nature of recognition theory offers a useful tool to aid in sociological theorizations of human nature and rights, while addressing some of the problems raised by early theorists of the sub-discipline and preventing siloing of the sub-discipline within a universalist or particularist vein. (shrink)

In traditional 3D reconstruction methods, using a single view to predict the 3D structure of an object is a very difficult task. This research mainly discusses human pose recognition and estimation based on 3D multiview basketball sports dataset. The convolutional neural network framework used in this research is VGG11, and the basketball dataset Image Net is used for pretraining. This research uses some modules of the VGG11 network. For different feature fusion methods, different modules of the VGG11 network (...) are used as the feature extraction network. In order to be efficient in computing and processing, the multilayer perceptron in the network model is implemented by a one-dimensional convolutional network. The input is a randomly sampled point set, and after a layer of perceptron, it outputs a feature set of n × 16. Then, the feature set is sent to two network branches, one is to continue to use the perceptron method to generate the feature set of n × 1024, and the other network is used to extract the local features of points. After the RGB basketball sports picture passes through the semantic segmentation network, a picture containing the target object is obtained, and the picture is input to the constructed feature fusion network model. After feature extraction is performed on the RGB image and the depth image, respectively, the RGB feature, the local feature of the point cloud, and the global feature are spliced and fused to form a feature vector of N × 1152. There are three branches for this vector network, which, respectively, predict the object position, rotation, and confidence. Among them, the feature dimensionality reduction is realized by one-dimensional convolution, and the activation function is the ReLU function. After removing the feature mapping module, the accuracy of VC-CNN_v1 dropped by 0.33% and the accuracy of VC-CNN_v2 dropped by 0.55%. It can be seen from the research results that the addition of the feature mapping module improves the recognition effect of the network to a certain extent. (shrink)

People whose person-making capacities or status are diminished or who lack them altogether are mostly ignored in mainstream theories of recognition. This entry clarifies the conceptual landscape around and some of the key questions about recognition in relation to these people. The concept of personhood is analyzed into three different sub-concepts – juridical, moral and psychological – and the connection of these to recognition on relevant concepts of recognition is discussed.

The article analyzes the neural and functional grounding of language skills as well as their emergence in hominid evolution, hypothesizing stages leading from abilities known to exist in monkeys and apes and presumed to exist in our hominid ancestors right through to modern spoken and signed languages. The starting point is the observation that both premotor area F5 in monkeys and Broca's area in humans contain a “mirror system” active for both execution and observation of manual actions, and that F5 (...) and Broca's area are homologous brain regions. This grounded the mirror system hypothesis of Rizzolatti and Arbib (1998) which offers the mirror system for grasping as a key neural “missing link” between the abilities of our nonhuman ancestors of 20 million years ago and modern human language, with manual gestures rather than a system for vocal communication providing the initial seed for this evolutionary process. The present article, however, goes “beyond the mirror” to offer hypotheses on evolutionary changes within and outside the mirror systems which may have occurred to equip Homo sapiens with a language-ready brain. Crucial to the early stages of this progression is the mirror system for grasping and its extension to permit imitation. Imitation is seen as evolving via a so-called simple system such as that found in chimpanzees (which allows imitation of complex “object-oriented” sequences but only as the result of extensive practice) to a so-called complex system found in humans (which allows rapid imitation even of complex sequences, under appropriate conditions) which supports pantomime. This is hypothesized to have provided the substrate for the development of protosign, a combinatorially open repertoire of manual gestures, which then provides the scaffolding for the emergence of protospeech (which thus owes little to nonhuman vocalizations), with protosign and protospeech then developing in an expanding spiral. It is argued that these stages involve biological evolution of both brain and body. By contrast, it is argued that the progression from protosign and protospeech to languages with full-blown syntax and compositional semantics was a historical phenomenon in the development of Homo sapiens, involving few if any further biological changes. Key Words: gestures; hominids; language evolution; mirror system; neurolinguistics; primates; protolanguage; sign language; speech; vocalization. (shrink)

The paper deals with a possible tension within Axel Honneth’s theory of justice as presented in his Freedom’s Right. It takes as its point of departure Georg Lohmann’s objection that Honneth loses sight of the critical potential associated with positive right and tries to discuss it critically both exposing Lohmann’s and Honneth’s position. From the complex of problems identified thereby, the paper moves to a discussion of Émile Durkheim’s theory of State, with which it helps to provide a possible contribution (...) to the discussion between positive, individual rights and the normative framework of social freedom. (shrink)

How lovely to see an article co-authored by a person with schizophrenia and his psychiatrist! For hundreds of years, the perspectives of people receiving services was never published in medical/psychiatric journals. Then, some journals had a special section for "voices of lived experience" where people receiving services could write short, personal pieces—often they told dark and negative stories about all the pain they have experienced. Later, people with lived experience were on research teams and people with mental health challenges would (...) be co-authors. Then research projects were designed and led by people with mental health challenges (Sweeney, Beresford, Faulkner, Nettle, &... (shrink)

Why is recognition of such an importance for humans? Why should lack of recognition motivate people to fight or work for recognition? In this article, I first discuss shortly Axel Honneth's psychologizing strategy for answering these questions, and suggest that the psychological harms of lack of recognition pointed out by Honneth are neither sufficient nor necessary for motivation to fight or work for recognition to arise. According to the alternative that I then spell out, (...) class='Hi'>recognition and lack of it are so intimately intertwined with some of the most fundamental and intuitively appealing facts about what it is to be a person in a full-fledged sense — arguably in any culture — that there are reasons to be optimistic about a more or less universal existence of latent motivation to fight or work for more or more equal recognition. (shrink)

An emerging body of literature has highlighted a gap in our understanding of the extent to which the salience attached to human rights is likely to influence the extent to which an individual takes account of Corporate Social Responsibility in decision making. The primary aim of this study is to begin to address this gap by understanding how individuals attribute different emphasis on specific aspects of human rights when making decisions to purchase, work, invest or support the community (...) operations for socially responsible organisations. In order to achieve this objective, a survey instrument was administered to professionals in Russia and Bulgaria. Our data indicate that there is a significant correlation between individuals’ sensitivity towards different components of human rights and their perceptions of the importance of CSR in decision making. Specifically, the recognition of political rights was strongly associated with the willingness to purchase, invest, seek employment and support socially responsible firms. Our analysis also outlines significant differences between the Russian and the Bulgarian samples with regard to the manners in which individuals rate the importance of civil, political and economic human rights. (shrink)

Just as AI has moved away from classical AI, human-computer interaction (HCI) must move away from what I call ‘good old fashioned HCI’ to ‘new HCI’ – it must become a part of cognitive systems research where HCI is one case of the interaction of intelligent agents (we now know that interaction is essential for intelligent agents anyway). For such interaction, we cannot just ‘analyze the data’, but we must assume intentions in the other, and I suggest these are (...) largely recognized through resistance to carrying out one’s own intentions. This does not require fully cognitive agents but can start at a very basic level. New HCI integrates into cognitive systems research and designs intentional systems that provide resistance to the human agent. (shrink)

In recent years, more and more people are applying Convolutional Neural Networks to the study of sound signals. The main reason is the translational invariance of convolution in time and space. Thereby the diversity of the sound signal can be overcome. However, in terms of sound direction recognition, there are also problems such as a microphone matrix being too large, and feature selection. This paper proposes a sound direction recognition using a simulated human head with microphones at (...) both ears. Theoretically, the two microphones cannot distinguish the front and rear directions. However, we use the original data of the two channels as the input of the convolutional neural network, and the resolution effect can reach more than 0.9. For comparison, we also chose the delay feature (GCC) for sound direction recognition. Finally, we also conducted experiments that used probability distributions to identify more directions. (shrink)

This book takes a distinctive and innovative approach to a relatively under-explored question, namely: Why do we have human rights? Much political discourse simply proceeds from the idea that humans have rights because they are human without seriously interrogating this notion. Egalitarian Rights Recognition offers an account of how human rights are created and how they may be seen to be legitimate: rights are created through social recognition. By combining readings of 19th Century English philosopher (...) T.H. Green with 20th Century political theorist Hannah Arendt, the author constructs a new theory of the social recognition of rights. He challenges both the standard ‘natural rights’ approach and also the main accounts of the social recognition of rights which tend to portray social recognition as settled norms or established ways of acting. In contrast, Hann puts forward a 10-point account of the dynamic and contingent social recognition of human rights, which emphasises the importance of meaningful socio-economic equality. (shrink)

Three experiments demonstrate that biological movement facilitates young infants’ recognition of the whole human form. A body discrimination task was used in which 6-, 9-, and 12-month-old infants were habituated to typical human bodies and then shown scrambled human bodies at the test. Recovery of interest to the scrambled bodies was observed in 9- and 12-month-old infants in Experiment 1, but only when the body images were animated to move in a biologically possible way. In Experiment (...) 2, nonbiological movement was incorporated into the typical and scrambled body images, but this did not facilitate body recognition in 9- and 12-month-olds. A preferential looking paradigm was used in Experiment 3 to determine if infants had a spontaneous preference for the scrambled versus typical body stimuli when these were both animated. The results showed that 12-month-olds preferred the scrambled body stimuli, 9-month-olds preferred the typical body stimuli and the 6-month-olds showed no preference for either type of body stimuli. These findings suggest that human body recognition involves integrating form and movement, possibly in the superior temporal sulcus, from as early as 9 months of life. (shrink)

As the concept of recognition shifts from philosophical theory to other fields of the humanities and social sciences, this volume explores the nature of this border category that exists in the space between sociological and philosophical considerations, related as it is to concepts such as status, prestige, the looking-glass self, respect, and dignity - at times being used interchangeably with these terms. Bringing together work from across academic disciplines, it presents theoretical conceptualizations of recognition, demonstrates its operationalization in (...) historical and literary research, considers recognition as a fundamental problem of sociological theory and examines the concept as a marker of social distances and redistribution. An examination and demonstration of the full potential of recognition as a category, Understanding Recognition: Conceptual and Empirical Studies explores the contemporary meanings and manifestations of recognition and sheds light on its capacity to complement the notions of status, class or prestige. As such, it will appeal to scholars of sociology and social theory, philosophy, history and literary studies. (shrink)

Aiming at the problems of low recognition rate and slow recognition speed of traditional body action recognition methods, a human action recognition method based on data deduplication technology is proposed. Firstly, the data redundancy technology and perceptual hashing technology are combined to form an index, and the image is filtered from the structure, color, and texture features of human action image to achieve image redundancy processing. Then, the depth feature of processed image is extracted (...) by depth motion map; finally, feature recognition is carried out by convolution neural network so as to achieve the purpose of human action recognition. The simulation results show that the proposed method can obtain the optimal recognition results and has strong robustness. At the same time, it also fully proves the importance of human motion recognition. (shrink)

Motion pose capture technology can effectively solve the problem of difficulty in defining character motion in the process of 3D animation production and greatly reduce the workload of character motion control, thereby improving the efficiency of animation development and the fidelity of character motion. Motion gesture capture technology is widely used in virtual reality systems, virtual training grounds, and real-time tracking of the motion trajectories of general objects. This paper proposes an attitude estimation algorithm adapted to be embedded. The previous (...) centralized Kalman filter is divided into two-step Kalman filtering. According to the different characteristics of the sensors, they are processed separately to isolate the cross-influence between sensors. An adaptive adjustment method based on fuzzy logic is proposed. The acceleration, angular velocity, and geomagnetic field strength of the environment are used as the input of fuzzy logic to judge the motion state of the carrier and then adjust the covariance matrix of the filter. The adaptive adjustment of the sensor is converted to the recognition of the motion state. For the study of human motion posture capture, this paper designs a verification experiment based on the existing robotic arm in the laboratory. The experiment shows that the studied motion posture capture method has better performance. The human body motion gesture is designed for capturing experiments, and the capture results show that the obtained pose angle information can better restore the human body motion. A visual model of human motion posture capture was established, and after comparing and analyzing with the real situation, it was found that the simulation approach reproduced the motion process of human motion well. For the research of human motion recognition, this paper designs a two-classification model and human daily behaviors for experiments. Experiments show that the accuracy of the two-category human motion gesture capture and recognition has achieved good results. The experimental effect of SVC on the recognition of two classifications is excellent. In the case of using all optimization algorithms, the accuracy rate is higher than 90%, and the final recognition accuracy rate is also higher than 90%. In terms of recognition time, the time required for human motion gesture capture and recognition is less than 2 s. (shrink)

The political conception makes sense of human rights strictly in light of their role in international human rights practice, more specifically by describing how they justify interventions against states that engage in or fail to prevent human rights violations. This conception is, therefore, normative and fact-dependent. Beyond this, it does not seem to have much to say about the actual nature of international human rights practice. The argument sustained here reinterprets the political conception by resorting to (...) a heuristic device that explains how normativity can be fact-dependent: the Hartian model. The characteristics of H.L.A. Hart’s rule of recognition are useful to determine the characteristics of human rights practice from the viewpoint of the political conception. Also, they help to overcome some of the problems typically faced by the political conception, such as whether there is only one practice or many, whether the notion of human rights becomes too contingent on the way the world is currently organised, how agents can violate content-changing practices, or how reliance on current states of affairs leaves room for criticism of those states of affairs. (shrink)

This chapter contains sections titled: Hegel on Love: The Early Theological Writings Recognition and Spirit: Hegel's Appropriation and Critique of Fichte Hegel's Philosophical Theology: Love, Reconciliation, True Infinity.

This paper pays special attention to T.H. Green's account of rights as developed in the Lectures on the Principles of Political Obligation. Green's theory can be viewed as having at least two main levels. The first level is his general account of rights, emphasizing the notions of social recognition, of a power or capacity that each right-holder has, and of the common good subserved by proper rights. The second level is that of universal rights; here special attention will be (...) paid to Green's critique of seventeenth-century natural rights and to the theory of human rights that Green evolved to replace and improve upon the old natural rights tradition. In its account of contemporary human rights theory, the paperwill emphasize the special role that social recognition plays in both the moral project of justifying human rights and in the institutionalization that is a necessary feature of any fully constituted human right, functioning at full capacity. (shrink)

A crucial philosophical problem of social robots is how much they perform a kind of sociality in interacting with humans. Scholarship diverges between those who sustain that humans and social robots cannot by default have social interactions and those who argue for the possibility of an asymmetric sociality. Against this dichotomy, we argue in this paper for a holistic approach called “Δ phenomenology” of HSRI. In the first part of the paper, we will analyse the semantics of an HSRI. This (...) is what leads a human being to assign or receive a meaning of sociality by interacting with a social robot. Hence, we will question the ontological structure underlying HSRIs, suggesting that HSRIs may lead to a peculiar kind of user alienation. By combining all these variables, we will formulate some final recommendations for an ethics of social robots. (shrink)

Aiming at the problem that it is difficult to balance the speed and accuracy of human behaviour recognition, this paper proposes a method of motion recognition based on random projection. Firstly, the optical flow picture and Red, Green, Blue picture obtained by the Lucas-Kanade algorithm are used. Secondly, the data of optical flow pictures and RGB pictures are compressed based on a random projection matrix of compressed sensing, which effectively reduces power consumption. At the same time, based (...) on random projection compression data, it can effectively find the optimal linear representation to reconstruct training samples and test samples. Thirdly, a multichannel 3D convolutional neural network is proposed, and the multiple information extracted by the network is fused to form an output recognizer. Experimental results show that the algorithm in this paper significantly improves the recognition rate of multicategory actions and effectively reduces the computational complexity and running time of the recognition algorithm. (shrink)