M. Budde, Pierre Barbera, R. M. Masri, T. Riedel, M. Beigl
This work discusses ways of measuring particulate matter with mobile devices. Solutions using a dedicated sensor device are presented along with a novel method of retrofitting a sensor to a camera phone without need for electrical modifications. Instead, the flash and camera of the phone are used as light source and receptor of an optical dust sensor respectively. Experiments to evaluate the accuracy are presented.
{"title":"Retrofitting smartphones to be used as particulate matter dosimeters","authors":"M. Budde, Pierre Barbera, R. M. Masri, T. Riedel, M. Beigl","doi":"10.1145/2493988.2494342","DOIUrl":"https://doi.org/10.1145/2493988.2494342","url":null,"abstract":"This work discusses ways of measuring particulate matter with mobile devices. Solutions using a dedicated sensor device are presented along with a novel method of retrofitting a sensor to a camera phone without need for electrical modifications. Instead, the flash and camera of the phone are used as light source and receptor of an optical dust sensor respectively. Experiments to evaluate the accuracy are presented.","PeriodicalId":90988,"journal":{"name":"The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference","volume":"22 1","pages":"139-140"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85674099","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}
The new method proposed here recognizes activities performed by a group of users (e.g., attending a meeting, playing sports, and participating in a party) by using sensor data obtained from the users. Note that such group activities (GAs) have characteristics that differ from those of single user activities. For example, the number of users who participate in a GA is different for each activity. The number of meeting participants, for instance, may sometimes be different for each meeting. Also, a user may play different roles (e.g., `moderator' and `presenter' roles) in meetings on different days. We introduce the notion of role into our GA recognition model and try to capture the intrinsic characteristics of GAs with a hybrid unsupervised/supervised approach.
{"title":"A hybrid unsupervised/supervised model for group activity recognition","authors":"Tomoya Hirano, T. Maekawa","doi":"10.1145/2493988.2494348","DOIUrl":"https://doi.org/10.1145/2493988.2494348","url":null,"abstract":"The new method proposed here recognizes activities performed by a group of users (e.g., attending a meeting, playing sports, and participating in a party) by using sensor data obtained from the users. Note that such group activities (GAs) have characteristics that differ from those of single user activities. For example, the number of users who participate in a GA is different for each activity. The number of meeting participants, for instance, may sometimes be different for each meeting. Also, a user may play different roles (e.g., `moderator' and `presenter' roles) in meetings on different days. We introduce the notion of role into our GA recognition model and try to capture the intrinsic characteristics of GAs with a hybrid unsupervised/supervised approach.","PeriodicalId":90988,"journal":{"name":"The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference","volume":"9 1","pages":"21-24"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84124810","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}
S. Feese, B. Arnrich, G. Tröster, M. Burtscher, Bertolt Meyer, K. Jonas
Firefighters work in dangerous and unfamiliar situations under a high degree of time pressure and thus team work is of utmost importance. Relying on trained automatisms, firefighters coordinate their actions implicitly by observing the actions of their team members. To support training instructors with objective mission data, we aim to automatically detect when a firefighter is in-sight with other firefighters and to visualize the proximity dynamics of firefighting missions. In our approach, we equip firefighters with smartphones and use the built-in ANT protocol, a low-power communication radio, to measure proximity to other firefighters. In a second step, we cluster the proximity data to detect moving sub-groups. To evaluate our method, we recorded proximity data of 16 professional firefighting teams performing a real-life training scenario. We manually labeled six training sessions, involving 51 firefighters, to obtain 79 minutes of ground truth data. On average, our algorithm assigns each group member to the correct ground truth cluster with 80% accuracy. Considering height information derived from atmospheric pressure signals increases group assignment accuracy to 95%.
{"title":"Sensing group proximity dynamics of firefighting teams using smartphones","authors":"S. Feese, B. Arnrich, G. Tröster, M. Burtscher, Bertolt Meyer, K. Jonas","doi":"10.1145/2493988.2494332","DOIUrl":"https://doi.org/10.1145/2493988.2494332","url":null,"abstract":"Firefighters work in dangerous and unfamiliar situations under a high degree of time pressure and thus team work is of utmost importance. Relying on trained automatisms, firefighters coordinate their actions implicitly by observing the actions of their team members. To support training instructors with objective mission data, we aim to automatically detect when a firefighter is in-sight with other firefighters and to visualize the proximity dynamics of firefighting missions. In our approach, we equip firefighters with smartphones and use the built-in ANT protocol, a low-power communication radio, to measure proximity to other firefighters. In a second step, we cluster the proximity data to detect moving sub-groups. To evaluate our method, we recorded proximity data of 16 professional firefighting teams performing a real-life training scenario. We manually labeled six training sessions, involving 51 firefighters, to obtain 79 minutes of ground truth data. On average, our algorithm assigns each group member to the correct ground truth cluster with 80% accuracy. Considering height information derived from atmospheric pressure signals increases group assignment accuracy to 95%.","PeriodicalId":90988,"journal":{"name":"The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference","volume":"7 1","pages":"97-104"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83332351","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}
Fábio Marques, P. Azevedo, J. Cunha, Bernardo Cunha, Susana Brás, J. Fernandes
In this paper we propose FIREMAN, a low cost system for online monitoring of firefighters ventilation patterns when using Self-Contained Breathing Apparatus (SCBA), based on a specific hardware device attached to SCBA and a Smartphone application. The system implementation allows the detection of relevant ventilation patterns while providing feasible and accurate estimation of SCBA air consumption.
{"title":"FIREMAN: FIRefighter team brEathing Management system using ANdroid","authors":"Fábio Marques, P. Azevedo, J. Cunha, Bernardo Cunha, Susana Brás, J. Fernandes","doi":"10.1145/2493988.2494339","DOIUrl":"https://doi.org/10.1145/2493988.2494339","url":null,"abstract":"In this paper we propose FIREMAN, a low cost system for online monitoring of firefighters ventilation patterns when using Self-Contained Breathing Apparatus (SCBA), based on a specific hardware device attached to SCBA and a Smartphone application. The system implementation allows the detection of relevant ventilation patterns while providing feasible and accurate estimation of SCBA air consumption.","PeriodicalId":90988,"journal":{"name":"The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference","volume":"134 1","pages":"133-134"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75842263","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}
Nils Y. Hammerla, Reuben Kirkham, Péter András, T. Plötz
The majority of activity recognition systems in wearable computing rely on a set of statistical measures, such as means and moments, extracted from short frames of continuous sensor measurements to perform recognition. These features implicitly quantify the distribution of data observed in each frame. However, feature selection remains challenging and labour intensive, rendering a more generic method to quantify distributions in accelerometer data much desired. In this paper we present the ECDF representation, a novel approach to preserve characteristics of arbitrary distributions for feature extraction, which is particularly suitable for embedded applications. In extensive experiments on six publicly available datasets we demonstrate that it outperforms common approaches to feature extraction across a wide variety of tasks.
{"title":"On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution","authors":"Nils Y. Hammerla, Reuben Kirkham, Péter András, T. Plötz","doi":"10.1145/2493988.2494353","DOIUrl":"https://doi.org/10.1145/2493988.2494353","url":null,"abstract":"The majority of activity recognition systems in wearable computing rely on a set of statistical measures, such as means and moments, extracted from short frames of continuous sensor measurements to perform recognition. These features implicitly quantify the distribution of data observed in each frame. However, feature selection remains challenging and labour intensive, rendering a more generic method to quantify distributions in accelerometer data much desired. In this paper we present the ECDF representation, a novel approach to preserve characteristics of arbitrary distributions for feature extraction, which is particularly suitable for embedded applications. In extensive experiments on six publicly available datasets we demonstrate that it outperforms common approaches to feature extraction across a wide variety of tasks.","PeriodicalId":90988,"journal":{"name":"The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference","volume":"61 1","pages":"65-68"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83786493","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}
Shimon Akiyama, Katsunari Sato, Yasutoshi Makino, T. Maeno
This report proposes a thermal media system, ThermOn, which enables users to feel dynamic hot and cold sensations on their body corresponding to the sound of music. Thermal sense plays a significant role in the human recognition of environments and influences human emotions. By employing thermal sense in the music experience, which also greatly affects human emotions, we have successfully created a new medium with an unprecedented emotional experience. With ThermOn, a user feels enhanced excitement and comfort, among other responses. For the initial prototype, headphone-type interfaces were implemented using a Peltier device, which allows users to feel thermal stimuli on their ears. Along with the hardware, a thermal-stimulation model that takes into consideration the characteristics of human thermal perception was designed. The prototype device was verified using two methods: the psychophysical method, which measures the skin potential response and the psychometric method using a Likert-scale questionnaire and open-ended interviews. The experimental results suggest that ThermOn (a) changes the impression of music, (b) provides comfortable feelings, and (c) alters the listener's ability to concentrate on music in the case of a rock song. Moreover, these effects were shown to change based on the methods with which thermal stimuli were added to music (such as temporal correspondence) and on the type of stimuli (warming or cooling). From these results, we have concluded that the ThermOn system has the potential to enhance the emotional experience when listening to music.
{"title":"ThermOn: thermo-musical interface for an enhanced emotional experience","authors":"Shimon Akiyama, Katsunari Sato, Yasutoshi Makino, T. Maeno","doi":"10.1145/2493988.2494326","DOIUrl":"https://doi.org/10.1145/2493988.2494326","url":null,"abstract":"This report proposes a thermal media system, ThermOn, which enables users to feel dynamic hot and cold sensations on their body corresponding to the sound of music. Thermal sense plays a significant role in the human recognition of environments and influences human emotions. By employing thermal sense in the music experience, which also greatly affects human emotions, we have successfully created a new medium with an unprecedented emotional experience. With ThermOn, a user feels enhanced excitement and comfort, among other responses. For the initial prototype, headphone-type interfaces were implemented using a Peltier device, which allows users to feel thermal stimuli on their ears. Along with the hardware, a thermal-stimulation model that takes into consideration the characteristics of human thermal perception was designed. The prototype device was verified using two methods: the psychophysical method, which measures the skin potential response and the psychometric method using a Likert-scale questionnaire and open-ended interviews. The experimental results suggest that ThermOn (a) changes the impression of music, (b) provides comfortable feelings, and (c) alters the listener's ability to concentrate on music in the case of a rock song. Moreover, these effects were shown to change based on the methods with which thermal stimuli were added to music (such as temporal correspondence) and on the type of stimuli (warming or cooling). From these results, we have concluded that the ThermOn system has the potential to enhance the emotional experience when listening to music.","PeriodicalId":90988,"journal":{"name":"The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference","volume":"22 1","pages":"45-52"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91181696","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}
In this paper we present a full-scaled real-time monocular SLAM using only a wearable camera. Assuming that the person is walking, the perception of the head oscillatory motion in the initial visual odometry estimate allows for the computation of a dynamic scale factor for static windows of N camera poses. Improving on this method we introduce a consistency test to detect non-walking situations and propose a sliding window approach to reduce the delay in the update of the scaled trajectory. We evaluate our approach experimentally on a unscaled visual odometry estimate obtained with a wearable camera along a path of 886 m. The results show a significant improvement respect to the initial unscaled estimate with a mean relative error of 0.91% over the total trajectory length.
{"title":"Scaled monocular SLAM for walking people","authors":"Daniel Gutiérrez-Gómez, J. J. Guerrero","doi":"10.1145/2493988.2494351","DOIUrl":"https://doi.org/10.1145/2493988.2494351","url":null,"abstract":"In this paper we present a full-scaled real-time monocular SLAM using only a wearable camera. Assuming that the person is walking, the perception of the head oscillatory motion in the initial visual odometry estimate allows for the computation of a dynamic scale factor for static windows of N camera poses. Improving on this method we introduce a consistency test to detect non-walking situations and propose a sliding window approach to reduce the delay in the update of the scaled trajectory. We evaluate our approach experimentally on a unscaled visual odometry estimate obtained with a wearable camera along a path of 886 m. The results show a significant improvement respect to the initial unscaled estimate with a mean relative error of 0.91% over the total trajectory length.","PeriodicalId":90988,"journal":{"name":"The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference","volume":"49 1","pages":"9-12"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78112845","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}
C. Zeagler, Scott M. Gilliland, S. Audy, Thad Starner
We explore the wash-ability of conductive materials used in creating traces and touch sensors in wearable electronic textiles. We perform a wash test measuring change in resistivity after each of 10 cycles of washing for conductive traces constructed using two types of conductive thread, conductive ink, and combinations of thread and ink.
{"title":"Can i wash it?: the effect of washing conductive materials usedin making textile based wearable electronic interfaces.","authors":"C. Zeagler, Scott M. Gilliland, S. Audy, Thad Starner","doi":"10.1145/2493988.2494344","DOIUrl":"https://doi.org/10.1145/2493988.2494344","url":null,"abstract":"We explore the wash-ability of conductive materials used in creating traces and touch sensors in wearable electronic textiles. We perform a wash test measuring change in resistivity after each of 10 cycles of washing for conductive traces constructed using two types of conductive thread, conductive ink, and combinations of thread and ink.","PeriodicalId":90988,"journal":{"name":"The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference","volume":"2 1","pages":"143-144"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78580622","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}
Halley P. Profita, James Clawson, Scott M. Gilliland, C. Zeagler, Thad Starner, J. Budd, E. Do
Wearable technology, specifically e-textiles, offers the potential for interacting with electronic devices in a whole new manner. However, some may find the operation of a system that employs non-traditional on-body interactions uncomfortable to perform in a public setting, impacting how readily a new form of mobile technology may be received. Thus, it is important for interaction designers to take into consideration the implications of on-body gesture interactions when designing wearable interfaces. In this study, we explore the third-party perceptions of a user's interactions with a wearable e-textile interface. This two-prong evaluation examines the societal perceptions of a user interacting with the textile interface at different on-body locations, as well as the observer's attitudes toward on-body controller placement. We performed the study in the United States and South Korea to gain cultural insights into the perceptions of on-body technology usage.
{"title":"Don't mind me touching my wrist: a case study of interacting with on-body technology in public","authors":"Halley P. Profita, James Clawson, Scott M. Gilliland, C. Zeagler, Thad Starner, J. Budd, E. Do","doi":"10.1145/2493988.2494331","DOIUrl":"https://doi.org/10.1145/2493988.2494331","url":null,"abstract":"Wearable technology, specifically e-textiles, offers the potential for interacting with electronic devices in a whole new manner. However, some may find the operation of a system that employs non-traditional on-body interactions uncomfortable to perform in a public setting, impacting how readily a new form of mobile technology may be received. Thus, it is important for interaction designers to take into consideration the implications of on-body gesture interactions when designing wearable interfaces. In this study, we explore the third-party perceptions of a user's interactions with a wearable e-textile interface. This two-prong evaluation examines the societal perceptions of a user interacting with the textile interface at different on-body locations, as well as the observer's attitudes toward on-body controller placement. We performed the study in the United States and South Korea to gain cultural insights into the perceptions of on-body technology usage.","PeriodicalId":90988,"journal":{"name":"The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference","volume":"53 87 1","pages":"89-96"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74456018","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}
Activity recognition has recently gained a lot of interest and there already exist several methods to detect human activites based on wearable sensors. Most of the existing methods rely on a database of labelled activities that is used to train an offline activity recognition system. This paper presents an approach to build an online activity recognition system that do not require any a priori labelled data. The system incrementally learns activities by actively querying the user for labels. To choose when the user should be queried, we compare a method based on random sampling and another that uses a Growing Neural Gas (GNG). The use of GNG helps reducing the number of user queries by 20% to 30%.
{"title":"Reducing user intervention in incremental activityrecognition for assistive technologies","authors":"Julien Rebetez, H. Satizábal, A. Pérez-Uribe","doi":"10.1145/2493988.2494350","DOIUrl":"https://doi.org/10.1145/2493988.2494350","url":null,"abstract":"Activity recognition has recently gained a lot of interest and there already exist several methods to detect human activites based on wearable sensors. Most of the existing methods rely on a database of labelled activities that is used to train an offline activity recognition system. This paper presents an approach to build an online activity recognition system that do not require any a priori labelled data. The system incrementally learns activities by actively querying the user for labels. To choose when the user should be queried, we compare a method based on random sampling and another that uses a Growing Neural Gas (GNG). The use of GNG helps reducing the number of user queries by 20% to 30%.","PeriodicalId":90988,"journal":{"name":"The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference","volume":"10 1","pages":"29-32"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74603420","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}
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