Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments最新文献

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VibrAid: comparing temporal and spatial tactile cues in control room environments VibrAid:在控制室环境中比较时间和空间触觉线索
Erik Pescara, Vincent Diener, M. Beigl
{"title":"VibrAid: comparing temporal and spatial tactile cues in control room environments","authors":"Erik Pescara, Vincent Diener, M. Beigl","doi":"10.1145/3316782.3321531","DOIUrl":"https://doi.org/10.1145/3316782.3321531","url":null,"abstract":"We present VibrAid, a miniaturized wrist-worn haptic display that provides vibrotactile alert cues for operators of large dashboard environments. We interviewed three control room operators in a steam plant on what a vibrotactile attention guidance system for the control room should look like and designed our system and the laboratory evaluation environment accordingly. We conducted an experiment (24 participants) comparing task completion time with temporal and spatial attention cues to the standard visual attention cues that are used in most modern monitoring systems. While temporal attention cues did not have an effect on task completion time, spatial cues led to an significant decrease in average task completion time, as well as significantly increasing trust in the ability to keep up with tasks even at a more rushed pace.","PeriodicalId":264425,"journal":{"name":"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114896972","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
ExerciseCheck ExerciseCheck
S. Pandit, San Tran, Yiwen Gu, E. Saraee, Frederick Jansen, Saurabh Singh, Shirene Cao, Arezoo Sadeghi, Eugenia Shandelman, T. Ellis, Margrit Betke
{"title":"ExerciseCheck","authors":"S. Pandit, San Tran, Yiwen Gu, E. Saraee, Frederick Jansen, Saurabh Singh, Shirene Cao, Arezoo Sadeghi, Eugenia Shandelman, T. Ellis, Margrit Betke","doi":"10.1145/3056540.3064958","DOIUrl":"https://doi.org/10.1145/3056540.3064958","url":null,"abstract":"A daily exercise program designed by a physical therapist or physician may be crucial for a patient's physical rehabilitation. However, when these exercises are performed at home without the supervision of the therapist, they may not be as effective as when performed in the presence of the therapist. In this paper, we present ExerciseCheck, a remote monitoring and evaluation platform for individuals involved in a home exercise program. The goal of the platform is to give patients feedback about their performance and, if needed, and how they should adjust their movements. ExerciseCheck is designed for a therapist to remotely monitor a patient in real time, enabling the therapist to give instant feedback or further instructions. To demonstrate how ExerciseCheck is used with a Kinect interface, we tested it with two exercises -- arm raise and squat. The results highlight the potential benefits the proposed platform may have in home-based physical therapy, enabling communication between the patient and the therapist.","PeriodicalId":264425,"journal":{"name":"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121992770","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: 16
Lost in translation: machine translation and text-to-speech in industry 4.0 迷失在翻译中:工业4.0中的机器翻译和文本转语音
Jean D. Hallewell Haslwanter, Michael Heiml, J. Wolfartsberger
{"title":"Lost in translation: machine translation and text-to-speech in industry 4.0","authors":"Jean D. Hallewell Haslwanter, Michael Heiml, J. Wolfartsberger","doi":"10.1145/3316782.3322746","DOIUrl":"https://doi.org/10.1145/3316782.3322746","url":null,"abstract":"Small lot sizes are becoming more common in modern manufacturing. Rather than automate every possible product variant, companies may rely on manual assembly to be more flexible. However, it can be difficult for people to remember the steps for every possible product variant. Assistive systems providing instructions can support workers. In this paper, we present a study investigating whether existing machine translation and text-to-speech engines provide sufficient quality to enable on-the-fly translations to provide assistance to workers in their native languages. The results of our tests indicate that machine translation is not yet sufficient for this application.","PeriodicalId":264425,"journal":{"name":"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114795813","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: 7
Designing a web-based automatic ergonomic assessment using motion data 设计一个基于网络的基于运动数据的自动人体工程学评估
B. E. Olivas-Padilla, A. Glushkova, Dimitrios Menychtas, S. Manitsaris
{"title":"Designing a web-based automatic ergonomic assessment using motion data","authors":"B. E. Olivas-Padilla, A. Glushkova, Dimitrios Menychtas, S. Manitsaris","doi":"10.1145/3316782.3322758","DOIUrl":"https://doi.org/10.1145/3316782.3322758","url":null,"abstract":"Manual laborers from the industry sector are often subject to critical physical strain that lead to work-related musculoskeletal disorders. Lifting, poor posture and repetitive movements are among the causes of these disorders. In order to prevent them, several rules and methods have been established to identify ergonomic risks that the worker might be exposed during his/her activities. However, the ergonomic assessment though these methods is not a trivial task and a relevant degree of theoretical knowledge on the part of the analyst is necessary. Therefore in this paper, a web-based automatic ergonomic assessment module is proposed. The proposed module uses segment rotations acquired from inertial measurement units for the assessment and provides as feedback RULA scores, color visualisation and limb angles in a simple, intuitive and meaningful way. RULA is one of the most used observational methods for assessment of occupational risk factors for upper-extremity musculoskeletal disorders. By automatizing RULA an interesting perspective for extracting posture analytics for ergonomic assessment is opened, as well as the inclusion of new features that may complement it. For future work, the use of other features and sensors will be investigated for its implementation on the module.","PeriodicalId":264425,"journal":{"name":"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124073697","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: 7
Survey of mood detection through various input modes 通过各种输入方式进行情绪检测的调查
Rebecca Lietz, Meaghan Harraghy, Diane Calderon, J. Brady, Eric Becker, F. Makedon
{"title":"Survey of mood detection through various input modes","authors":"Rebecca Lietz, Meaghan Harraghy, Diane Calderon, J. Brady, Eric Becker, F. Makedon","doi":"10.1145/3316782.3321543","DOIUrl":"https://doi.org/10.1145/3316782.3321543","url":null,"abstract":"Mood has a large impact on people's behavior and even health. Thus, detecting and monitoring mood can potentially benefit users, researchers, clinicians, and content providers. In recent years, advancements in affective computing have enabled the development of various mood detection systems based on self-reported data, speech, facial expressions, mobile phone usage patterns, or physiological signals. This paper reviews each of those approaches and evaluates them in terms of usability and accuracy. Systems based on mobile phone usage and physiological data seem to be the most user friendly, but more research is needed to examine the positive and negative effects of mood monitoring.","PeriodicalId":264425,"journal":{"name":"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132014333","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: 5
Privacy-aware environmental sound classification for indoor human activity recognition 室内人体活动识别的隐私感知环境声分类
Wei Wang, Fatjon Seraj, N. Meratnia, P. Havinga
{"title":"Privacy-aware environmental sound classification for indoor human activity recognition","authors":"Wei Wang, Fatjon Seraj, N. Meratnia, P. Havinga","doi":"10.1145/3316782.3321521","DOIUrl":"https://doi.org/10.1145/3316782.3321521","url":null,"abstract":"This paper presents a comparative study on different feature extraction and machine learning techniques for indoor environmental sound classification. Compared to outdoor environmental sound classification systems, indoor systems need to pay special attention to power consumption and privacy. We consider feature calculation complexity, classification accuracy and privacy as evaluation metrics. To ensure privacy, we strip voice bands from sound input to make human conversations unrecognizable. With 5 classes of 2500 indoor audio events as input, our experimental results show that using SVM model with LPCC feature, 78% classification accuracy can be reached. Furthermore, the performance is improved to more than 85% by combining several simple features and dropping unreliable predictions, which only slightly increase the complexity.","PeriodicalId":264425,"journal":{"name":"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134514619","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: 12
Towards a robot-based multimodal framework to assess the impact of fatigue on user behavior and performance: a pilot study 迈向基于机器人的多模态框架,以评估疲劳对用户行为和性能的影响:一项试点研究
Akilesh Rajavenkatanarayanan, Varun Kanal, K. Tsiakas, J. Brady, Diane Calderon, G. Wylie, F. Makedon
{"title":"Towards a robot-based multimodal framework to assess the impact of fatigue on user behavior and performance: a pilot study","authors":"Akilesh Rajavenkatanarayanan, Varun Kanal, K. Tsiakas, J. Brady, Diane Calderon, G. Wylie, F. Makedon","doi":"10.1145/3316782.3322776","DOIUrl":"https://doi.org/10.1145/3316782.3322776","url":null,"abstract":"Objective: In this paper, we present a multimodal robot-based framework to investigate how physical and mental fatigue affect task performance, and how it relates to subjective self-reports. Methodology: In this pilot study, seven healthy participants underwent the robot-based assessment. In each session, the participants performed a series of reaching tasks, including a task with cognitive demands, by moving the end effector of the Barrett WAM arm in the direction of the virtual targets displayed on a computer screen. Multimodal data, including EEG, EMG and user performance data like reaction time, number of targets, trajectory of the robot path, were recorded for further analysis. Results: Based on the analysis of subjective user self-report and objective task performance metrics, we observe that the user's perceived level of task difficulty increased over time while objective task performance also improved over time. We speculate that this might be due to the effect of fatigue on the user's perception of task difficulty. Conclusion: Further studies are required, with a more diverse population, to understand the impact of fatigue on the user's cognitive and physical ability. We must also evaluate how contextual parameters may affect task performance and fatigue.","PeriodicalId":264425,"journal":{"name":"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134099228","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: 6
Engineered perception architecture for healthcare 用于医疗保健的工程感知架构
M. Nadin, Asma Naz
{"title":"Engineered perception architecture for healthcare","authors":"M. Nadin, Asma Naz","doi":"10.1145/3316782.3321525","DOIUrl":"https://doi.org/10.1145/3316782.3321525","url":null,"abstract":"Experiencing sensory-pleasing environments and recreating perceptions of past lived environments can benefit patients greatly in coping with irreversible conditions (e.g., dementia) or during healing after traumatic experiences. Such environments can evoke emotional responses that are associated with a patient's positive memories of a place, an activity, or people. A design concept of an intimate architectural space informed by knowledge of anticipatory systems was developed for the purpose of generating variable personalized environments. In particular, such environments are designed for patients, according to their individual demands and expectations. The design is guided by aesthetic data acquired through perceptual user studies. Such adaptive spaces can be delivered to a large number of users in healthcare in the form of Architecture-as-Service (AaS). The research presented expands the notion of AaS and is premised upon an IoT application.","PeriodicalId":264425,"journal":{"name":"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"151 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131590235","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: 1
Importance of effective teaching in robot motor skill learning 有效教学在机器人运动技能学习中的重要性
Joe Cloud, Michail Theofanidis, J. Brady, F. Makedon
{"title":"Importance of effective teaching in robot motor skill learning","authors":"Joe Cloud, Michail Theofanidis, J. Brady, F. Makedon","doi":"10.1145/3316782.3322775","DOIUrl":"https://doi.org/10.1145/3316782.3322775","url":null,"abstract":"It is generally accepted in the field of human-robot interaction (HRI) that the role of a human teacher is critical for robot environmental adaptation. As such, the ability of a robot to adapt in a novel environment is based on the capabilities of the human teacher. In this paper, we propose a metric for robots to evaluate the quality of a human teacher. We illustrate a scenario where the Sawyer Robotic Arm must learn to grasp a cup according to the demonstration ofa good and a bad human teacher.","PeriodicalId":264425,"journal":{"name":"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133674005","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
The role of PPG in identification of mild cognitive impairment PPG在轻度认知障碍诊断中的作用
Migyeong Gwak, E. Woo, M. Sarrafzadeh
{"title":"The role of PPG in identification of mild cognitive impairment","authors":"Migyeong Gwak, E. Woo, M. Sarrafzadeh","doi":"10.1145/3316782.3316798","DOIUrl":"https://doi.org/10.1145/3316782.3316798","url":null,"abstract":"Early and reliable detection of cognitive impairment is crucial for optimized care of Alzheimer's disease. In our former publication, we derived features from gait signals and proposed a novel feature selection algorithm to identify mild cognitive impairment (MCI) aging. In this paper, we concentrate on applying the previously proposed algorithm on a different biosignal, photoplethysmography (PPG), to improve MCI classification. We also demonstrate data acquisition using a finger-tip wireless pulse oximeter and feature extraction from PPG. Our classification accuracy is 0.90 ± 0.01 with the dataset from 62 elderly participants (72.71 ± 10.63 years; 31 MCI and 31 control), which is a higher classification accuracy than only using the administered neuropsychological measures. This study verifies that PPG-derived parameters also have the potential to enhance the ability to accurately diagnosis cognitive impairment.","PeriodicalId":264425,"journal":{"name":"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133856715","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
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