Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction最新文献

Co-Creating Emotionally Aligned Smart Homes Using Social Psychological Modeling 利用社会心理学模型共同创造情感一致的智能家居

Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction Pub Date : 2017-09-21 DOI: 10.1145/3134230.3134242

Julie M. Robillard, Aaron W. Li, Shilpa Jacob, Dan Wang, Xin Zou, J. Hoey

{"title":"Co-Creating Emotionally Aligned Smart Homes Using Social Psychological Modeling","authors":"Julie M. Robillard, Aaron W. Li, Shilpa Jacob, Dan Wang, Xin Zou, J. Hoey","doi":"10.1145/3134230.3134242","DOIUrl":"https://doi.org/10.1145/3134230.3134242","url":null,"abstract":"Smart homes have long been proposed as a viable mechanism to promote independent living for older adults in the home environment. Despite tremendous progress on the technology front, there has been limited uptake by end-users. A critical barrier to the adoption of smart home technology by older adults is the lack of engagement of end-users in the development process and the resulting one-size-fits-all solutions that fail to recognize the specific needs of the older adult demographic. In this paper, we propose a novel online platform aimed at closing the gap between older adults and technology developers: ASPIRE (Alignment of Social Personas in Inclusive Research Engagement). ASPIRE is an online collaborative network (OCN) that allows older adults, care partners, and developers to engage in the design and development of a joint shared product: the smart-home solution. To promote the adoption of the OCN and the alignment of this collaborative network with the values and emotional needs of its end-users, ASPIRE harnesses a social-psychological theory of identity. This paper presents ASPIRE as a conceptual model, with a preliminary implementation.","PeriodicalId":209424,"journal":{"name":"Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134619408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

The SPHERE Experience SPHERE体验

Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction Pub Date : 2017-09-21 DOI: 10.1145/3134230.3135629

I. Craddock

引用次数: 0

Preliminary Evaluation of a Framework for Overhead Skeleton Tracking in Factory Environments using Kinect 工厂环境中使用Kinect的架空骨架跟踪框架的初步评估

Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction Pub Date : 2017-09-21 DOI: 10.1145/3134230.3134232

M. M. Marinho, Yuki Yatsushima, T. Maekawa, Y. Namioka

{"title":"Preliminary Evaluation of a Framework for Overhead Skeleton Tracking in Factory Environments using Kinect","authors":"M. M. Marinho, Yuki Yatsushima, T. Maekawa, Y. Namioka","doi":"10.1145/3134230.3134232","DOIUrl":"https://doi.org/10.1145/3134230.3134232","url":null,"abstract":"This paper presents a preliminary evaluation of a framework that allows an overhead RGBD camera to segment and track workers skeleton in an unstructured factory environment. The default Kinect skeleton tracking algorithm was developed using front-view artificial depth images generated from a 3D model of a person in an empty room. The proposed framework is inspired in this concept, and works by capturing motion data of worker movements performing a real factory task. That motion data is matched to the 3D model of the worker. In a novel approach, the largest elements in the workspace (e.g. desks, racks) are modeled with simple shapes, and the artificial depth images are generated in a \"simplified workspace\" in contrast with an \"empty workspace\". We show in preliminary experiments that the addition of the simplified models during training can increase, ceteris paribus, the segmentation accuracy by over 3 times and the recall by about one and a half times when the workspace is highly cluttered. Evaluation is made using real depth images obtained in a factory environment, and as ground-truth manually segmented images are used.","PeriodicalId":209424,"journal":{"name":"Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123567360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Bottom-up Investigation: Human Activity Recognition Based on Feet Movement and Posture Information 自下而上的调查:基于足部运动和姿态信息的人类活动识别

Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction Pub Date : 2017-09-21 DOI: 10.1145/3134230.3134240

Rafael de Pinho André, Pedro Diniz, H. Fuks

引用次数: 16

Knowledge Extraction from Task Narratives 从任务叙述中提取知识

Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction Pub Date : 2017-09-21 DOI: 10.1145/3134230.3134234

Kristina Yordanova, Carlos Monserrat Aranda, David Nieves, J. Hernández-Orallo

{"title":"Knowledge Extraction from Task Narratives","authors":"Kristina Yordanova, Carlos Monserrat Aranda, David Nieves, J. Hernández-Orallo","doi":"10.1145/3134230.3134234","DOIUrl":"https://doi.org/10.1145/3134230.3134234","url":null,"abstract":"One of the major difficulties in activity recognition stems from the lack of a model of the world where activities and events are to be recognised. When the domain is fixed and repetitive we can manually include this information using some kind of ontology or set of constraints. On many occasions, however, there are many new situations for which only some knowledge is common and many other domain-specific relations have to be inferred. Humans are able to do this from short descriptions in natural language, describing the scene or the particular task to be performed. In this paper we apply a tool that extracts situation models and rules from natural language description to a series of exercises in a surgical domain, in which we want to identify the sequence of events that are not possible, those that are possible (but incorrect according to the exercise) and those that correspond to the exercise or plan expressed by the description in natural language. The preliminary results show that a large amount of valuable knowledge can be extracted automatically, which could be used to express domain knowledge and exercises description in languages such as event calculus that could help bridge these high-level descriptions with the low-level events that are recognised from videos.","PeriodicalId":209424,"journal":{"name":"Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130378376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Exercise Monitoring On Consumer Smart Phones Using Ultrasonic Sensing 利用超声波感应在消费者智能手机上进行运动监测

Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction Pub Date : 2017-09-21 DOI: 10.1145/3134230.3134238

Biying Fu, Dinesh Vaithyalingam Gangatharan, Arjan Kuijper, Florian Kirchbuchner, Andreas Braun

引用次数: 17

Smartwatch based Respiratory Rate and Breathing Pattern Recognition in an End-consumer Environment 终端消费者环境中基于智能手表的呼吸频率和呼吸模式识别

Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction Pub Date : 2017-09-21 DOI: 10.1145/3134230.3134235

John Trimpop, Hannes Schenk, G. Bieber, Friedrich Lämmel, Paul Burggraf

引用次数: 11

Detecting Process Transitions from Wearable Sensors: An Unsupervised Labeling Approach 从可穿戴传感器检测过程转换:一种无监督标记方法

Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction Pub Date : 2017-09-21 DOI: 10.1145/3134230.3134233

S. Böttcher, P. Scholl, Kristof Van Laerhoven

{"title":"Detecting Process Transitions from Wearable Sensors: An Unsupervised Labeling Approach","authors":"S. Böttcher, P. Scholl, Kristof Van Laerhoven","doi":"10.1145/3134230.3134233","DOIUrl":"https://doi.org/10.1145/3134230.3134233","url":null,"abstract":"Authoring protocols for manual tasks such as following recipes, manufacturing processes, or laboratory experiments requires a significant effort. This paper presents a system that estimates individual procedure transitions from the user's physical movement and gestures recorded with inertial motion sensors. Combined with egocentric or external video recordings this facilitates efficient review and annotation of video databases. We investigate different clustering algorithms on wearable inertial sensor data recorded on par with video data, to automatically create transition marks between task steps. The goal is to match these marks to the transitions given in a description of the workflow, thus creating navigation cues to browse video repositories of manual work. To evaluate the performance of unsupervised clustering algorithms, the automatically generated marks are compared to human-expert created labels on publicly available datasets. Additionally, we tested the approach on a novel data set in a manufacturing lab environment, describing an existing sequential manufacturing process.","PeriodicalId":209424,"journal":{"name":"Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133609569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Smarter Smart Homes with Social and Emotional Intelligence 拥有社交和情商的智能家居

Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction Pub Date : 2017-09-21 DOI: 10.1145/3134230.3134243

J. Hoey

{"title":"Smarter Smart Homes with Social and Emotional Intelligence","authors":"J. Hoey","doi":"10.1145/3134230.3134243","DOIUrl":"https://doi.org/10.1145/3134230.3134243","url":null,"abstract":"Pervasive intelligent assistive technologies promise to alleviate some of the increasing burden of care for persons with age-related cognitive disabilities, such as Alzheimer's disease. However, despite tremendous progress, many attempts to develop and implement real world applications have failed to become widely adopted. In this talk, I will argue that a key barrier to the adoption of these technologies is a lack of alignment, on a social and emotional level, between the technology and its users. I argue that products which do not deeply embed social and emotional intelligence will fail to align with the needs and values of target end-users, and will thereby have only limited utility. I will then introduce a socio-cultural reasoning engine called \"BayesACT\" that can be used to provide this level of affective reasoning. BayesACT is arises from the symbolic interactionist tradition in sociological social psychology, in which culturally shared affective and cognitive meanings provide powerful predictive insights into human action. BayesACT can learn these shared meanings during an interaction, and can tailor interventions to specific individuals in a way that ensures smoother and more effective uptake and response. I will give an introduction to this reasoning engine, and will discuss how affective reasoning could be used to create truly adaptive assistive technologies.","PeriodicalId":209424,"journal":{"name":"Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116013914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-time Embedded Recognition of Sign Language Alphabet Fingerspelling in an IMU-Based Glove 基于imu手套的手语字母拼写实时嵌入式识别

Proceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction Pub Date : 2017-09-21 DOI: 10.1145/3134230.3134236

Chaithanya Kumar Mummadi, Frederic Philips Peter Leo, Keshav Deep Verma, Shivaji Kasireddy, P. Scholl, Kristof Van Laerhoven

引用次数: 22