Hideki Kawai, H. Itoh, Takuya Nakano, H. Kajimoto, Y. Yanagida
By covering the skin with clothes such as gloves, humans have managed to survive in severe environments and undertake dangerous work. However, when we wear covering materials, tactile information is lost; this may decrease working efficiency and degrade the performance of object perception at the moment of contact. In order to address this issue, the concept of a "haptic-through" system that transmits tactile information through a covering material has been proposed. However, the effectiveness of this concept has been verified only by vertically pushing a surface of an object with one finger; there have been no systems proposed that can be used in actual complex finger motion. We constructed a glove-style haptic-through system that can be used in practical finger motion. By using this system, we conducted an experiment to investigate the discrimination threshold of the angle of a rod-shaped object. As a result, the angle discrimination threshold through a glove, with the support of our system, was equivalent to that obtained with bare hands.
{"title":"Glove-Through Tactile Information Transmission System","authors":"Hideki Kawai, H. Itoh, Takuya Nakano, H. Kajimoto, Y. Yanagida","doi":"10.1145/3311823.3311842","DOIUrl":"https://doi.org/10.1145/3311823.3311842","url":null,"abstract":"By covering the skin with clothes such as gloves, humans have managed to survive in severe environments and undertake dangerous work. However, when we wear covering materials, tactile information is lost; this may decrease working efficiency and degrade the performance of object perception at the moment of contact. In order to address this issue, the concept of a \"haptic-through\" system that transmits tactile information through a covering material has been proposed. However, the effectiveness of this concept has been verified only by vertically pushing a surface of an object with one finger; there have been no systems proposed that can be used in actual complex finger motion. We constructed a glove-style haptic-through system that can be used in practical finger motion. By using this system, we conducted an experiment to investigate the discrimination threshold of the angle of a rod-shaped object. As a result, the angle discrimination threshold through a glove, with the support of our system, was equivalent to that obtained with bare hands.","PeriodicalId":433578,"journal":{"name":"Proceedings of the 10th Augmented Human International Conference 2019","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123704189","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 method that predicts the ball trajectory of a volleyball toss 0.3 s before the actual toss by observing the motion of the setter player. We input 3D data of body joints obtained using Kinect into a simple neural network, and 2D data estimated using OpenPose is used for comparison. We created simple neural networks for the two players and tested them. The trajectory of a volleyball toss is properly predicted by the proposed method and the error of the toss trajectory was approximately equal to the size of the ball. This technology can provide a new spectating experience in sports by superimposing the predicted images onto a live broadcast. We also show that this method can be used to identify the important body parts that contribute to the toss prediction. A professional volleyball analyst stated that this technology can be used for analyzing the peculiarities of opponent players.
{"title":"Prediction of Volleyball Trajectory Using Skeletal Motions of Setter Player","authors":"Shuya Suda, Yasutoshi Makino, H. Shinoda","doi":"10.1145/3311823.3311844","DOIUrl":"https://doi.org/10.1145/3311823.3311844","url":null,"abstract":"In this paper, we present a method that predicts the ball trajectory of a volleyball toss 0.3 s before the actual toss by observing the motion of the setter player. We input 3D data of body joints obtained using Kinect into a simple neural network, and 2D data estimated using OpenPose is used for comparison. We created simple neural networks for the two players and tested them. The trajectory of a volleyball toss is properly predicted by the proposed method and the error of the toss trajectory was approximately equal to the size of the ball. This technology can provide a new spectating experience in sports by superimposing the predicted images onto a live broadcast. We also show that this method can be used to identify the important body parts that contribute to the toss prediction. A professional volleyball analyst stated that this technology can be used for analyzing the peculiarities of opponent players.","PeriodicalId":433578,"journal":{"name":"Proceedings of the 10th Augmented Human International Conference 2019","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128684384","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}
Modulation of grip force has several applications such as sports. We speculated that as mupltiple fingers mechanically interact with each other, it might be possible to adjust grip strength by controlling the movement of single finger. We also speculated that changing grip strength may affect the weight perception of an object on grasping. In this paper, we investigated whether grip strength could be modulated by a specific finger posture, and found that it can be reduced by stretching some fingers, specifically middle finger and ring finger. Preliminary result of weight perception modulation is also reported.
{"title":"Grip Force Modulation by Finger Posture","authors":"Hideyuki Asazu, Masahiro Miyakami, H. Kajimoto","doi":"10.1145/3311823.3311838","DOIUrl":"https://doi.org/10.1145/3311823.3311838","url":null,"abstract":"Modulation of grip force has several applications such as sports. We speculated that as mupltiple fingers mechanically interact with each other, it might be possible to adjust grip strength by controlling the movement of single finger. We also speculated that changing grip strength may affect the weight perception of an object on grasping. In this paper, we investigated whether grip strength could be modulated by a specific finger posture, and found that it can be reduced by stretching some fingers, specifically middle finger and ring finger. Preliminary result of weight perception modulation is also reported.","PeriodicalId":433578,"journal":{"name":"Proceedings of the 10th Augmented Human International Conference 2019","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133525295","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}
N. Kato, Hiroyuki Osone, Kotaro Oomori, Chun Wei Ooi, Yoichi Ochiai
Machine learning have been recently applied to multiple areas, including fashion. Fashion design by generated images makes it possible to inherit design without fashion designer and get inspiration, however, little research has been done on usage of machine learning for creation of designer clothing. The state-of-the-art works aim for high-definition output images. However in fashion design image generation, it has not been thoroughly investigated to what extent the quality of the generated image should be provided to the pattern makers that draw the costume pattern from the design images. Therefore, in this paper we propose a method of generation of clothing images for pattern makers using Progressive Growing of GANs (P-GANs) and conduct a user study to investigate whether the different image quality factors such as epoch and resolution affect the participants' confidence score. We discuss the results and possible applications of the developed method.
{"title":"GANs-based Clothes Design: Pattern Maker Is All You Need to Design Clothing","authors":"N. Kato, Hiroyuki Osone, Kotaro Oomori, Chun Wei Ooi, Yoichi Ochiai","doi":"10.1145/3311823.3311863","DOIUrl":"https://doi.org/10.1145/3311823.3311863","url":null,"abstract":"Machine learning have been recently applied to multiple areas, including fashion. Fashion design by generated images makes it possible to inherit design without fashion designer and get inspiration, however, little research has been done on usage of machine learning for creation of designer clothing. The state-of-the-art works aim for high-definition output images. However in fashion design image generation, it has not been thoroughly investigated to what extent the quality of the generated image should be provided to the pattern makers that draw the costume pattern from the design images. Therefore, in this paper we propose a method of generation of clothing images for pattern makers using Progressive Growing of GANs (P-GANs) and conduct a user study to investigate whether the different image quality factors such as epoch and resolution affect the participants' confidence score. We discuss the results and possible applications of the developed method.","PeriodicalId":433578,"journal":{"name":"Proceedings of the 10th Augmented Human International Conference 2019","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126042497","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}
Stefanie Schaack, G. Chernyshov, Kirill Ragozin, Benjamin Tag, R. Peiris, K. Kunze
In this paper, we present a Haptic Collar prototype, a neck worn band with vibrotactile actuators for eyes-free haptic navigation. We evaluate the system for guidance applications on over 11 users, analyzing 4 different tactile patterns regarding comfort and ease of understanding as well as the number of actuators to encode 8 directions (4, 6 and 8). Overall, users can recognize the directional signs well (up to 95 % recognition rates for over 528 triggers). We also present a use case applying our prototype for a haptic navigation walk.
{"title":"Haptic Collar: Vibrotactile Feedback around the Neck for Guidance Applications","authors":"Stefanie Schaack, G. Chernyshov, Kirill Ragozin, Benjamin Tag, R. Peiris, K. Kunze","doi":"10.1145/3311823.3311840","DOIUrl":"https://doi.org/10.1145/3311823.3311840","url":null,"abstract":"In this paper, we present a Haptic Collar prototype, a neck worn band with vibrotactile actuators for eyes-free haptic navigation. We evaluate the system for guidance applications on over 11 users, analyzing 4 different tactile patterns regarding comfort and ease of understanding as well as the number of actuators to encode 8 directions (4, 6 and 8). Overall, users can recognize the directional signs well (up to 95 % recognition rates for over 528 triggers). We also present a use case applying our prototype for a haptic navigation walk.","PeriodicalId":433578,"journal":{"name":"Proceedings of the 10th Augmented Human International Conference 2019","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133094806","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}
This paper presents StockSense, a prototype of a haptic wristband for tracking volatile markets. StockSense informs the user about current price changes via structured vibrotactile feedback. This system can be used for any volatile market: cryptocurrency market, stock market, etc. A preliminary study was carried out with 5 participants to investigate whether vibrotactile displays of smartphones could be integrated into the system for additional information transmission. Afterwards the system was evaluated in a study with 20 participants. The participants became familiar with the system within a short period of time and were able to recognize the displayed information on the vibrotactile display reliably. The participants rated the system as positive. Overall, the participants appreciated the functionality of the system and considered it to be suitable for this field of application.
{"title":"StockSense: A Wrist-Worn Vibrotactile Display for tracking Volatile Markets","authors":"Erik Pescara, I. Fillipov, M. Beigl","doi":"10.1145/3311823.3311834","DOIUrl":"https://doi.org/10.1145/3311823.3311834","url":null,"abstract":"This paper presents StockSense, a prototype of a haptic wristband for tracking volatile markets. StockSense informs the user about current price changes via structured vibrotactile feedback. This system can be used for any volatile market: cryptocurrency market, stock market, etc. A preliminary study was carried out with 5 participants to investigate whether vibrotactile displays of smartphones could be integrated into the system for additional information transmission. Afterwards the system was evaluated in a study with 20 participants. The participants became familiar with the system within a short period of time and were able to recognize the displayed information on the vibrotactile display reliably. The participants rated the system as positive. Overall, the participants appreciated the functionality of the system and considered it to be suitable for this field of application.","PeriodicalId":433578,"journal":{"name":"Proceedings of the 10th Augmented Human International Conference 2019","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128763042","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}
Hyperthermia and muscle fatigue during sports activities are a challenge to detect because body temperatures cannot be unobtrusively evaluated from the field of play. Recently, inexpensive portable thermal imaging devices have become available, allowing accurate monitoring of players from a distance. In this paper, we examine the accuracy of thermal imaging devices by distance and monitoring angle. Using thermal imaging, object recognition, and facial recognition techniques, we develop a visualization tool to display core body temperature information for each player. This augmented display allows us to detect potential heat-related player injuries on a sports field in near real time.
{"title":"Identifying Muscle Fatigue and Hyperthermia in Sports Activities Using Thermal Imaging and Facial Recognition Software","authors":"Christopher G. Harris","doi":"10.1145/3311823.3311845","DOIUrl":"https://doi.org/10.1145/3311823.3311845","url":null,"abstract":"Hyperthermia and muscle fatigue during sports activities are a challenge to detect because body temperatures cannot be unobtrusively evaluated from the field of play. Recently, inexpensive portable thermal imaging devices have become available, allowing accurate monitoring of players from a distance. In this paper, we examine the accuracy of thermal imaging devices by distance and monitoring angle. Using thermal imaging, object recognition, and facial recognition techniques, we develop a visualization tool to display core body temperature information for each player. This augmented display allows us to detect potential heat-related player injuries on a sports field in near real time.","PeriodicalId":433578,"journal":{"name":"Proceedings of the 10th Augmented Human International Conference 2019","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125453936","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 10th Augmented Human International Conference (AH2019) continues to curate a range of scientific research aiming at augmenting humans in varying aspects: as individuals and as a society; perceptual and cognitive augmentation, in addition to physical augmentation; and using state-of-the-art technologies in deep learning and artificial intelligence.
{"title":"Proceedings of the 10th Augmented Human International Conference 2019","authors":"Katrin Wolf, Haimo Zhang, R. Taiar, J. Seigneur","doi":"10.1145/3311823","DOIUrl":"https://doi.org/10.1145/3311823","url":null,"abstract":"The 10th Augmented Human International Conference (AH2019) continues to curate a range of scientific research aiming at augmenting humans in varying aspects: as individuals and as a society; perceptual and cognitive augmentation, in addition to physical augmentation; and using state-of-the-art technologies in deep learning and artificial intelligence.","PeriodicalId":433578,"journal":{"name":"Proceedings of the 10th Augmented Human International Conference 2019","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122193305","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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