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標(biāo)題: Titlebook: Human Behavior Understanding; Second International Albert Ali Salah,Bruno Lepri Conference proceedings 2011 Springer-Verlag GmbH Berlin Hei [打印本頁(yè)]

作者: Daguerreotype    時(shí)間: 2025-3-21 18:49
書(shū)目名稱Human Behavior Understanding影響因子(影響力)




書(shū)目名稱Human Behavior Understanding影響因子(影響力)學(xué)科排名




書(shū)目名稱Human Behavior Understanding網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Human Behavior Understanding網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Human Behavior Understanding被引頻次




書(shū)目名稱Human Behavior Understanding被引頻次學(xué)科排名




書(shū)目名稱Human Behavior Understanding年度引用




書(shū)目名稱Human Behavior Understanding年度引用學(xué)科排名




書(shū)目名稱Human Behavior Understanding讀者反饋




書(shū)目名稱Human Behavior Understanding讀者反饋學(xué)科排名





作者: Insul島    時(shí)間: 2025-3-21 23:28
Urban Computing and Smart Cities: Opportunities and Challenges in Modelling Large-Scale Aggregated Hlization, large amounts of data –digital footprints– can be sensed and analyzed to uncover patterns of human urban behavior and to augment the city experience of its citizens. In my talk, I will introduce the main concepts, opportunities and challenges in the emerging area of urban computing/smart c
作者: Noisome    時(shí)間: 2025-3-22 02:34

作者: Semblance    時(shí)間: 2025-3-22 08:19
Sequential Deep Learning for Human Action Recognition scheme, based on the extension of . to 3D, automatically learns spatio-temporal features. A . is then trained to classify each sequence considering the temporal evolution of the learned features for each timestep. Experimental results on the KTH dataset show that the proposed approach outperforms e
作者: 大漩渦    時(shí)間: 2025-3-22 11:03

作者: 不知疲倦    時(shí)間: 2025-3-22 15:21

作者: 漂浮    時(shí)間: 2025-3-22 17:55

作者: MONY    時(shí)間: 2025-3-22 22:06
DTW Based Clustering to Improve Hand Gesture Recognitionth machine learning methods. In this work, we propose a dynamic time warping (DTW) based pre-clustering technique to significantly improve hand gesture recognition accuracy of various graphical models used in the human computer interaction (HCI) literature. A dataset of 1200 samples consisting of th
作者: palliate    時(shí)間: 2025-3-23 05:02
Augmenting Social Interactions: Experiments in Socio-emotional Computings leads to the new, multidisciplinary area of socio-emotional computing, where computing technologies are applied to transform and enrich communication between people, either mediated or face-to-face. As a research field, socio-emotional computing serves a number of goals. First, it aims to inform t
作者: AER    時(shí)間: 2025-3-23 05:55

作者: 凝乳    時(shí)間: 2025-3-23 09:44

作者: 依法逮捕    時(shí)間: 2025-3-23 17:24

作者: Consensus    時(shí)間: 2025-3-23 20:20
A Research Framework for Playful Persuasion Based on Psychological Needs and Bodily Interactionrmediating variables. The framework is being developed in a multidisciplinary research project that focuses on how to design intelligent play environments that promote physical and social activities. Here, the framework serves to generate design relevant research questions and to guide communication
作者: Projection    時(shí)間: 2025-3-24 01:13

作者: 察覺(jué)    時(shí)間: 2025-3-24 03:01
Abnormal Crowd Behavior Detection by Social Force Optimizationat the interaction force, as estimated by the Social Force Model (SFM), is a significant feature to analyze crowd behavior. We step forward this hypothesis by optimizing this force using Particle Swarm Optimization (PSO) to perform the advection of a particle population spread randomly over the imag
作者: 符合國(guó)情    時(shí)間: 2025-3-24 10:23
Understanding the Influence of Social Interactions on Individual’s Behavior Pattern in a Work EnviroWe design the visual processing algorithms to track multiple people in the environment and detect dyadic interactions using a discriminative classifier. The locations of the users are associated with semantic tasks based on the functions of the areas. Our learning method then deduces patterns from t
作者: ethereal    時(shí)間: 2025-3-24 13:55

作者: Adenocarcinoma    時(shí)間: 2025-3-24 15:40
Michel Klein,Nataliya Mogles,Arlette van Wissenchte der Literatur konkret in Erscheinung getretenen Einzelformen, Formtraditionen und Formengruppen. Sie l??t sich andererseits beantworten durch eine Ermittlung der typischen Formen, die allzeitig die erz?hlende Dichtung als solche kennzeichnen und definieren. Zum Schaden beider Richtungen ist die
作者: BOLT    時(shí)間: 2025-3-24 19:34
Marco Rozendaal,Arnold Vermeeren,Tilde Bekker,Huib de Ridder Formen der Rückwendung und Vorausdeutung macht der Autor übergreifende Zusammenh?nge eigens kenntlich. Schon haben sich aber gelegentlich Ausblicke auf weitere Symptome der Vorgangsverflechtung ergeben. Die Besch?ftigung mit Begleitmotiven, Allegorien, Symbolen und schlie?lich mit dem Wechselspiel
作者: 悅耳    時(shí)間: 2025-3-25 03:05

作者: 完成才能戰(zhàn)勝    時(shí)間: 2025-3-25 04:02

作者: meretricious    時(shí)間: 2025-3-25 08:58
Urban Computing and Smart Cities: Opportunities and Challenges in Modelling Large-Scale Aggregated Hrning, data mining and pattern recognition. Some of the applications of smart cities include traffic forecasting, modeling of the spread of biological viruses, urban and transportation design and location-based services.
作者: aerobic    時(shí)間: 2025-3-25 11:39
Analyzing Facial Behavioral Features from Videosnary experiments on classifying face patterns into different categories based on gender, identity, age, and ethnicity point out very interesting findings on the role of facial dynamics in face analysis from videos.
作者: 小卒    時(shí)間: 2025-3-25 16:22
Adaptive Integration of Multiple Cues for Contingency Detectionrn-taking imitation game “Simon says” with human partners. Using this dataset, which includes motion and body pose cues from a depth and color image, we evaluate our contingency detection module with the proposed integration mechanisms and show the importance of selecting the appropriate level of cu
作者: 有角    時(shí)間: 2025-3-25 21:30

作者: Palpable    時(shí)間: 2025-3-26 02:59

作者: 宣誓書(shū)    時(shí)間: 2025-3-26 04:28

作者: committed    時(shí)間: 2025-3-26 12:04
Lars Müller,Verónica Rivera-Pelayo,Christine Kunzmann,Andreas Schmidtatürlich nicht allein für die Erz?hlkunst.. Es fiel aber hier besonders ins Gewicht, weil in der Erz?hlkunst trotz zahlreicher Einzelbeobachtungen am wenigsten Klarheit darüber herrschte, nach welchen Prinzipien oder Oberbegriffen ihre Formen überhaupt zu erfassen und zu ordnen w?ren.
作者: 不可知論    時(shí)間: 2025-3-26 13:27

作者: 挖掘    時(shí)間: 2025-3-26 20:20

作者: AND    時(shí)間: 2025-3-26 22:16

作者: 駕駛    時(shí)間: 2025-3-27 02:45

作者: 排出    時(shí)間: 2025-3-27 06:47
Albert Ali Salah,Bruno Lepri,Fabio Pianesi,Alex Sandy Pentland
作者: cogent    時(shí)間: 2025-3-27 09:52
Salvador Dura-Bernal,Guillaume Garreau,Charalambos Andreou,Andreas Andreou,Julius Georgiou,Thomas We
作者: Hemiplegia    時(shí)間: 2025-3-27 14:08

作者: ASSAY    時(shí)間: 2025-3-27 17:53

作者: 使成整體    時(shí)間: 2025-3-28 00:55
Marc Jentsch,Marco Jahn,Ferry Pramudianto,Jonathan Simon,Amro Al-Akkad
作者: genuine    時(shí)間: 2025-3-28 04:19
Chih-Wei Chen,Asier Aztiria,Somaya Ben Allouch,Hamid Aghajan
作者: 過(guò)剩    時(shí)間: 2025-3-28 07:54

作者: palette    時(shí)間: 2025-3-28 13:17

作者: 征稅    時(shí)間: 2025-3-28 18:01

作者: 千篇一律    時(shí)間: 2025-3-28 21:40

作者: freight    時(shí)間: 2025-3-29 01:05
Human Behavior Understanding978-3-642-25446-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: COMMA    時(shí)間: 2025-3-29 03:49

作者: Adulate    時(shí)間: 2025-3-29 07:45
Why Won’t You Do What’s Good for You? Using Intelligent Support for Behavior Changeion messages. The system first tries to determine the reason of the occurrence of the unwanted behavior by asking short questions via a mobile phone application and by gathering information from an online lifestyle diary. The system then attempts to influence the user using tailored information and persuasive motivational messages.
作者: Inclement    時(shí)間: 2025-3-29 13:02

作者: 吞噬    時(shí)間: 2025-3-29 16:24

作者: 獸群    時(shí)間: 2025-3-29 23:12
Human Behavior Understanding for Inducing Behavioral Change: Application Perspectives”, we provide a taxonomy to describe where and how HBU technology can be harnessed to this end, and supply a short survey of the area from an application perspective. We also consider how social signals and settings relate to this concept.
作者: cancellous-bone    時(shí)間: 2025-3-30 01:09
Sequential Deep Learning for Human Action Recognitionhe temporal evolution of the learned features for each timestep. Experimental results on the KTH dataset show that the proposed approach outperforms existing deep models, and gives comparable results with the best related works.
作者: 運(yùn)動(dòng)性    時(shí)間: 2025-3-30 06:14
An Energy-Saving Support System for Office Environmentsesses. Firstly, the system uses unobtrusive technology in order not to interrupt the normal working processes of office workers. Secondly, the system minimizes the effort of workers to deal with the topic of saving energy so that it can be done en passant. In an explorative user study, we examine if the system is considered useful by users.
作者: intimate    時(shí)間: 2025-3-30 09:15
Conference proceedings 2011sented together with 2 keynote talks and one summarizing paper were carefully reviewed and selected from 32 submissions. The papers are organized in topical sections on analysis of human actions and activities, face and gesture analysis, persuasive technologies, and social interactions.
作者: evanescent    時(shí)間: 2025-3-30 14:41

作者: RECUR    時(shí)間: 2025-3-30 17:11
One-Sequence Learning of Human Actionsining discrete HMM to be able to deal with fuzzy observations. We compare our approach with other models such as, dynamic time warping (DTW), continuous-observation HMM, Conditional Random Fields (CRF) and Hidden Conditional Random Fields (HCRF) for human action recognition.
作者: arterioles    時(shí)間: 2025-3-30 20:49

作者: Antarctic    時(shí)間: 2025-3-31 04:38
From Stress Awareness to Coping Strategies of Medical Staff: Supporting Reflection on Physiological recall stressful events and were interested in their physiological signals. However, existing coping strategies turned out as barriers to the adoption of new tools. Future persuasive applications should focus on integration with existing coping strategies to scaffold the reflection process.
作者: 慷慨不好    時(shí)間: 2025-3-31 05:13
Human Action Categorization Using Ultrasound Micro-Doppler Signaturesng 100%, and a strong robustness to variations in the model parameters. The low computational cost of the system, together with its high accuracy, even for short length inputs, make it appropriate for a real-time implementation with applications to intelligent surveillance, monitoring and related disciplines.
作者: Obsessed    時(shí)間: 2025-3-31 09:49

作者: Infelicity    時(shí)間: 2025-3-31 13:31
Rehabilitation und Pr?ventionhttp://image.papertrans.cn/h/image/425585.jpg




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