publications([{
   "lang": "en",
   "type_publi": "icolcomlec",
   "doi": "https://doi.org/10.1109/EUSIPCO.2015.7362880",
   "title": "Operationalization of Conceptual Imagery for BCIs",
   "abstract": "We present a Brain Computer Interface (BCI) system in an asynchronous setting that allows classifying objects in their semantic categories (e.g. a hammer is a tool). For training, we use visual cues that are representative of the concepts (e.g. a hammer image for the concept of hammer). We evaluate the system in an offline synchronous setting and in an online asynchronous setting. We consider two scenarios: the first one, where concepts are in close semantic families (10 subjects) and the second where concepts are from distinctly different categories (10 subjects). We find that both have classification accuracies of 70% and above, although more distant conceptual categories lead to 5% more in classification accuracy.",
   "authors": {
      "1": {
         "first_name": "Nataliya",
         "last_name": "Kos'myna"
      },
      "2": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      },
      "3": {
         "first_name": "Bertrand",
         "last_name": "Rivet"
      }
   },
   "year": 2015,
   "uri": "http://iihm.imag.fr/publication/KTR15c/",
   "pages": "2726-2730",
   "bibtype": "inproceedings",
   "id": 733,
   "abbr": "KTR15c",
   "address": "Nice, France",
   "date": "2015-08-30",
   "type": "Conférences internationales de large diffusion avec comité de lecture sur texte complet",
   "booktitle": "European Signal Processing Conference (EUSIPCO'2015)"
},
{
   "lang": "en",
   "publisher": "Springer",
   "doi": "http://doi.org/10.1007/978-3-319-22701-6_37",
   "title": "Towards Brain Computer Interfaces for Recreational Activities: Piloting a Drone",
   "abstract": "Active Brain Computer Interfaces (BCIs) allow people to exert voluntary control over a computer system: brain signals are captured and imagined actions (movements, concepts) are recognized after a training phase (from 10 minutes to 2 months). BCIs are confined in labs, with only a few dozen people using them outside regularly (e.g. assistance for impairments). We propose a “Co-learning BCI” (CLBCI) that reduces the amount of training and makes BCIs more suitable for recreational applications. We replicate an existing experiment where the BCI controls a drone and compare CLBCI to their Operant Conditioning (OC) protocol over three durations of practice (1 day, 1 week, 1 month). We find that OC works at 80% after a month practice, but the performance is between 60 and 70% any earlier. In a week of practice, CLBCI reaches a performance of around 75%. We conclude that CLBCI is better suited for recreational use. OC should be reserved for users for whom performance is the main concern.",
   "authors": {
      "1": {
         "first_name": "Nataliya",
         "last_name": "Kos'myna"
      },
      "2": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      },
      "3": {
         "first_name": "Bertrand",
         "last_name": "Rivet"
      }
   },
   "year": 2015,
   "uri": "http://iihm.imag.fr/publication/KTR15b/",
   "pages": "506-522",
   "bibtype": "inproceedings",
   "id": 726,
   "abbr": "KTR15b",
   "address": "Bamberg, Germany",
   "date": "2015-09-15",
   "type": "Conférences internationales de large diffusion avec comité de lecture sur texte complet",
   "booktitle": "Proceedings of the 15th IFIP TC13 Conference on Human-Computer Interaction (INTERACT'15)",
   "type_publi": "icolcomlec"
},
{
   "chapter": 26,
   "publisher": "ACM",
   "doi": "https://doi.org/10.1145/2808228",
   "lang": "en",
   "uri": "http://iihm.imag.fr/publication/KTR15e/",
   "title": "Conceptual Priming for In-game BCI Training",
   "bibtype": "article",
   "journal": "ACM Trans. Comput.-Hum. Interact.",
   "year": 2015,
   "number": 5,
   "pages": "1-25",
   "volume": 22,
   "id": 737,
   "abbr": "KTR15e",
   "authors": {
      "1": {
         "first_name": "Nataliya",
         "last_name": "Kos'myna"
      },
      "2": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      },
      "3": {
         "first_name": "Bertrand",
         "last_name": "Rivet"
      }
   },
   "date": "2015-10-01",
   "type": "Revues internationales avec comité de lecture",
   "abstract": "Using Brain Computer Interfaces (BCIs) as a control modality for games is popular. However BCIs require prior training before playing, which is hurtful to immersion and player experience in the game. For this reason, we propose an explicit integration of the training protocol in game by a modification of the game environment to enforce the synchronicity with the BCI system and to provide appropriate instructions to user. We then dissimulate the synchronicity in the game mechanics by using priming to mask the training instruction (implicit stimuli). We conduct an evaluation of the effects on game experience compared to standard BCI training on 36 subjects. We use the game experience questionnaire (GEQ) coupled with reliability analysis (Cronbach's alpha). The integration does not change the feeling of competence (3/4). However, flow and immersion increase sizably with explicit training integration (2.78 and 2.67/4 from 1.79/4 and 1.52/4) and even more with the implicit training integration (3.27/4 and 3.12/4).",
   "type_publi": "irevcomlec"
},
{
   "chapter": 12,
   "publisher": "ACM",
   "doi": "http://doi.acm.org/10.1145/2723162",
   "lang": "en",
   "uri": "http://iihm.imag.fr/publication/KTR15a/",
   "title": "Adding Human Learning in Brain Computer Interfaces (BCIs): Towards a Practical Control Modality",
   "bibtype": "article",
   "journal": "ACM Trans. Comput.-Hum. Interact. (TOCHI) 22, 3, Article 12 (May 2015), 37 pages. ",
   "year": 2015,
   "number": 3,
   "pages": "1-37",
   "volume": 22,
   "id": 717,
   "abbr": "KTR15a",
   "authors": {
      "1": {
         "first_name": "Nataliya",
         "last_name": "Kos'myna"
      },
      "2": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      },
      "3": {
         "first_name": "Bertrand",
         "last_name": "Rivet"
      }
   },
   "date": "2015-03-23",
   "type": "Revues internationales avec comité de lecture",
   "abstract": "In this article we introduce CLBCI (Co-Learning for Brain Computer Interfaces), a BCI architecture based on co-learning, where users can give explicit feedback to the system rather than just receiving feedback. CLBCI is based on minimum distance classification with Independent Component Analysis (ICA) and allows for shorter training times compared to classical BCIs, as well as a faster learning in users and a good performance progression. We further propose a new scheme for real-time two-dimensional visualization of classification outcomes using Wachspress coordinate interpolation. It allows us to represent classification outcomes for n classes in simple regular polygons. Our objective is to devise a BCI system that constitutes a practical interaction modality that can be deployed rapidly and used on a regular basis. We apply our system to an event-based control task in the form of a simple shooter game where we evaluate the learning effect induced by our architecture compared to a classical approach. We also evaluate how much user feedback and our visualization method contribute to the performance of the system.",
   "type_publi": "irevcomlec"
},
{
   "lang": "en",
   "publisher": "ACM",
   "doi": "http://doi.acm.org/10.1145/2782758",
   "uri": "http://iihm.imag.fr/publication/KTR15d/",
   "title": "Brains, computers, and drones: think and control!",
   "bibtype": "misc",
   "journal": "ACM Interactions",
   "year": 2015,
   "number": 4,
   "pages": "44-47",
   "volume": 22,
   "id": 734,
   "abbr": "KTR15d",
   "authors": {
      "1": {
         "first_name": "Nataliya",
         "last_name": "Kos'myna"
      },
      "2": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      },
      "3": {
         "first_name": "Bertrand",
         "last_name": "Rivet"
      }
   },
   "date": "2015-06-30",
   "type": "Diffusion de la connaissance, vulgarisation scientifique",
   "abstract": "Imagine you could control the world with your thoughts. Sounds appealing, doesn’t it? There is a technology that can capture your brain activity and issue commands to computer systems, such as robots, prosthetics, and games. Indeed, brain-computer interfaces (BCIs) have been around since the 1970s, and have improved with each passing decade. You might wonder: “Wait! If this technology has been around all this time, how come we’re not all using it? I mean, we hear about great applications sometimes in the press—controlling a drone, for instance—but then nothing seems to come of it. Why is that?”",
   "type_publi": "diffusion"
},
{
   "lang": "en",
   "type_publi": "icolcomlec",
   "doi": "https://doi.org/10.1145/2559206.2574820",
   "title": "Bidirectional Feedback in Motor Imagery BCIs: Learn to Control a Drone within 5 Minutes",
   "abstract": "Brain Computer Interface systems rely on lengthy training phases that can last up to months due to the inherent variability in brainwave activity between users. We propose a BCI architecture based on the co-learning between the user and the system through different feedback strategies. Thus, we achieve an operational BCI within minutes. We apply our system to the piloting of an AR.Drone 2.0 quadricopter. We show that our architecture provides better task performance than traditional BCI paradigms within a shorter time frame. We further demonstrate the enthusiasm of users towards our BCI-based interaction modality and how they find it much more enjoyable than traditional interaction modalities.",
   "authors": {
      "1": {
         "first_name": "Nataliya",
         "last_name": "Kos'myna"
      },
      "2": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      },
      "3": {
         "first_name": "Bertrand",
         "last_name": "Rivet"
      }
   },
   "year": 2014,
   "uri": "http://iihm.imag.fr/publication/KTR14a/",
   "pages": "479-482",
   "bibtype": "inproceedings",
   "id": 711,
   "abbr": "KTR14a",
   "address": "Toronto, Canada",
   "date": "2014-04-26",
   "type": "Conférences internationales de large diffusion avec comité de lecture sur texte complet",
   "booktitle": "CHI'14 Extended Abstracts on Human Factors in Computing Systems. 2014"
},
{
   "bibtype": "article",
   "publisher": "Elsevier",
   "doi": "https://doi.org/10.1016/j.cmpb.2014.06.013",
   "lang": "en",
   "uri": "http://iihm.imag.fr/publication/PQC+14a/",
   "title": "Feature extraction of the first difference of EMG time series for EMG pattern recognition",
   "url": "http://www.sciencedirect.com/science/article/pii/S0169260714002478",
   "journal": "Computer Methods and Programs in Biomedicine",
   "authors": {
      "1": {
         "first_name": "Angkoon",
         "last_name": "Phinyomark"
      },
      "2": {
         "first_name": "Franck",
         "last_name": "Quaine"
      },
      "3": {
         "first_name": "Sylvie",
         "last_name": "Charbonnier"
      },
      "4": {
         "first_name": "Christine",
         "last_name": "Serviere"
      },
      "5": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      },
      "6": {
         "first_name": "Yann",
         "last_name": "Laurillau"
      }
   },
   "year": 2014,
   "number": 2,
   "pages": "247-256",
   "volume": 117,
   "id": 698,
   "abbr": "PQC+14a",
   "address": "New York, NY, USA",
   "date": "2014-06-24",
   "document": "http://iihm.imag.fr/publs/2014/ESWA-Draft.pdf",
   "type": "Revues internationales avec comité de lecture",
   "abstract": "This paper demonstrates the utility of a differencing technique to transform surface EMG signals measured during both static and dynamic contractions such that they become more stationary. The technique was evaluated by three stationarity tests consisting of the variation of two statistical properties, i.e., mean and standard deviation, and the reverse arrangements test. As a result of the proposed technique, the first difference of EMG time series became more stationary compared to the original measured signal. Based on this finding, the performance of time-domain features extracted from raw and transformed EMG was investigated via an EMG classification problem (i.e., eight dynamic motions and four EMG channels) on data from eighteen subjects. The results show that the classification accuracies of all features extracted from the transformed signals were higher than features extracted from the original signals for six different classifiers including quadratic discriminant analysis. On average, the proposed differencing technique improved classification accuracies by 2%-8%.",
   "type_publi": "irevcomlec"
},
{
   "lang": "en",
   "type_publi": "colloque",
   "doi": "https://doi.org/10.1145/2638728.2638785",
   "title": "Drone, Your Brain, Ring Course: Accept the Challenge and Prevail!",
   "abstract": "Brain Computer Interface systems (BCIs) rely on lengthy training phases that can last up to months due to the inherent variability in brainwave activity between users. We propose a BCI architecture based on the co- learning between the user and the system through different feedback strategies. Thus, we achieve an operational BCI within minutes. We apply our system to the piloting of an AR.Drone 2.0 quadricopter with a series of hoops delimiting an exciting circuit. We show that our architecture provides better task performance than traditional BCI paradigms within a shorter time frame. We further demonstrate the enthusiasm of users towards our BCI-based interaction modality and how they find it much more enjoyable than traditional interaction modalities.",
   "authors": {
      "1": {
         "first_name": "Nataliya",
         "last_name": "Kos'myna"
      },
      "2": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      },
      "3": {
         "first_name": "Bertrand",
         "last_name": "Rivet"
      }
   },
   "year": 2014,
   "uri": "http://iihm.imag.fr/publication/KTR14b/",
   "pages": "243-246",
   "bibtype": "inproceedings",
   "id": 712,
   "abbr": "KTR14b",
   "address": "Seattle, USA",
   "date": "2014-09-13",
   "type": "Autres conférences et colloques avec actes",
   "booktitle": "UBICOMP'14 ADJUNCT. 2014"
},
{
   "lang": "en",
   "type_publi": "icolcomlec",
   "title": "Towards a General Architecture for a Co-Learning of Brain Computer Interfaces",
   "abstract": "In this article we propose a software architecture for asynchronous BCIs based on co-learning, where both the system and the user jointly learn by providing feedback to one another. We propose the use of recent filtering techniques such as Riemann Geometry and ICA followed by multiple classifications, by both incremental supervised classifiers and minimally supervised classifiers. The classifier outputs are then combined adaptively according to the feedback using recursive neural networks.",
   "year": 2013,
   "uri": "http://iihm.imag.fr/publication/KT13b/",
   "id": 679,
   "bibtype": "inproceedings",
   "abbr": "KT13b",
   "authors": {
      "1": {
         "first_name": "Nataliya",
         "last_name": "Kos'myna"
      },
      "2": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      }
   },
   "date": "2013-11-06",
   "type": "Conférences internationales de large diffusion avec comité de lecture sur texte complet",
   "booktitle": "Proceedings of the 6th International IEEE EMBS Conference on Neural Engineering (NER 2013)"
},
{
   "lang": "en",
   "publisher": "IEEE",
   "doi": "http://dx.doi.org/10.1109/TCIAIG.2012.2230003",
   "title": "Evaluation and comparison of a multimodal combination of BCI paradigms and Eye-tracking in a gaming context",
   "journal": "IEEE Transactions on Computational Intelligence and AI in Games (T-CIAIG)",
   "year": 2013,
   "uri": "http://iihm.imag.fr/publication/KT13a/",
   "pages": "150-154",
   "bibtype": "article",
   "id": 612,
   "abbr": "KT13a",
   "authors": {
      "1": {
         "first_name": "Nataliya",
         "last_name": "Kos'myna"
      },
      "2": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      }
   },
   "date": "2013-02-06",
   "type": "Revues internationales avec comité de lecture",
   "abstract": "This paper evaluates the usability and efficiency of three multimodal combinations of brain-computer interface (BCI) and eye tracking in the context of a simple puzzle game involving tile selection and rotations using affordable consumer-grade hardware. It presents preliminary results indicating that the BCI interaction is interesting but very tiring and imprecise, and may be better suited as an optional and complementary modality to other interaction techniques.",
   "type_publi": "irevcomlec"
},
{
   "bibtype": "article",
   "volume": 40,
   "doi": "http://dx.doi.org/10.1016/j.eswa.2013.02.023",
   "lang": "en",
   "uri": "http://iihm.imag.fr/publication/PQC+13b/",
   "title": "EMG Feature Evaluation for Improving Myoelectric Pattern Recognition Robustness",
   "url": "http://www.sciencedirect.com.gate6.inist.fr/science/article/pii/S0957417413001395",
   "abstract": "In pattern recognition-based myoelectric control, high accuracy for multiple discriminated motions is presented in most of related literature. However, there is a gap between the classification accuracy and the usability of practical applications of myoelectric control, especially the effect of long-term usage. This paper proposes and investigates the behavior of fifty time-domain and frequency-domain features to classify ten upper limb motions using electromyographic data recorded during 21 days. The most stable single feature and multiple feature sets are presented with the optimum configuration of myoelectric control, i.e. data segmentation and classifier. The result shows that sample entropy (SampEn) outperforms other features when compared using linear discriminant analysis (LDA), a robust classifier. The averaged test classification accuracy is 93.37%, when trained in only initial first day. It brings only 2.45% decrease compared with retraining schemes. Increasing number of features to four, which consists of SampEn, the fourth order cepstrum coefficients, root mean square and waveform length, increase the classification accuracy to 98.87%. The proposed techniques achieve to maintain the high accuracy without the retraining scheme. Additionally, this continuous classification allows the real-time operation.",
   "publisher": "Elsevier",
   "year": 2013,
   "number": 12,
   "pages": "4832–4840",
   "note": "IF: 2.203",
   "id": 616,
   "abbr": "PQC+13b",
   "authors": {
      "1": {
         "first_name": "Angkoon",
         "last_name": "Phinyomark"
      },
      "2": {
         "first_name": "Franck",
         "last_name": "Quaine"
      },
      "3": {
         "first_name": "Sylvie",
         "last_name": "Charbonnier"
      },
      "4": {
         "first_name": "Christine",
         "last_name": "Serviere"
      },
      "5": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      },
      "6": {
         "first_name": "Yann",
         "last_name": "Laurillau"
      }
   },
   "date": "2013-02-22",
   "document": "http://iihm.imag.fr/publs/2013/ESWA-Draft.pdf",
   "type": "Revues internationales avec comité de lecture",
   "journal": "Expert Systems with Applications",
   "type_publi": "irevcomlec"
},
{
   "lang": "en",
   "volume": 26,
   "doi": "http://dx.doi.org/10.1016/j.engappai.2013.01.004",
   "bibtype": "article",
   "title": "A Feasibility Study on the Use of Anthropometric Variables to Make Muscle-Computer Interface More Practical",
   "url": "http://www.sciencedirect.com/science/article/pii/S0952197613000146",
   "abstract": "High classification accuracy has been achieved for muscle–computer interfaces (MCIs) based on surface electromyography (EMG) recognition in many recent works with an increasing number of discrimi- nated movements. However, there are many limitations to use these interfaces in the real-world contexts. One of the major problems is compatibility. Designing and training the classification EMG system for a particular individual user is needed in order to reach high accuracy. If the system can calibrate itself automatically/semi-automatically, the development of standard interfaces that are compatible with almost any user could be possible. Twelve anthropometric variables, a measurement of body dimensions, have been proposed and used to calibrate the system in two different ways: a weighting factor for a classifier and a normalizing value for EMG features. The experimental results showed that a number of relationships between anthropometric variables and EMG time-domain features from upper-limb muscles and movements are statistically strong and significant. In this paper, the feasibility to use anthropometric variables to calibrate the EMG classification system is shown obviously and the proposed calibration technique is suggested to further improve the robustness and practical use of MCIs based on EMG pattern recognition.",
   "publisher": "Elsevier",
   "year": 2013,
   "uri": "http://iihm.imag.fr/publication/PQC+13a/",
   "pages": "1681-1688",
   "note": "IF 1.84",
   "id": 614,
   "abbr": "PQC+13a",
   "authors": {
      "1": {
         "first_name": "Angkoon",
         "last_name": "Phinyomark"
      },
      "2": {
         "first_name": "Franck",
         "last_name": "Quaine"
      },
      "3": {
         "first_name": "Sylvie",
         "last_name": "Charbonnier"
      },
      "4": {
         "first_name": "Christine",
         "last_name": "Serviere"
      },
      "5": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      },
      "6": {
         "first_name": "Yann",
         "last_name": "Laurillau"
      }
   },
   "date": "2013-01-20",
   "document": "http://iihm.imag.fr/publs/2013/Manuscript_Anthropometric1_4thDraft.pdf",
   "type": "Revues internationales avec comité de lecture",
   "journal": "International Scientific Journal Engineering Applications of Artificial Intelligence",
   "type_publi": "irevcomlec"
},
{
   "lang": "fr",
   "publisher": "ACM",
   "type_publi": "colcomlec",
   "title": "Une combinaison de paradigmes d’interaction cerveau-ordinateur et suivi du regard pour des interactions multimodales",
   "abstract": "Cette étude évalue l’utilisabilité et la performance de trois interactions multimodales combinant des Interfaces Cerveau-Ordinateur (ICO) et du suivi du regard dans le contexte d’un jeu simple de type puzzle impliquant des actions de sélection et de rotation. Les résultats montrent que si les ICO suscitent l’intérêt des utilisateurs, elles peuvent être fatigantes et encore trop imprécises. Cependant, celles basées sur SSVEP s’avèrent performantes en coopération avec le suivi du regard.",
   "authors": {
      "1": {
         "first_name": "Nataliya",
         "last_name": "Kos'myna"
      },
      "2": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      }
   },
   "year": 2012,
   "uri": "http://iihm.imag.fr/publication/KT12a/",
   "pages": "4",
   "bibtype": "inproceedings",
   "id": 608,
   "abbr": "KT12a",
   "address": "Biarritz, France",
   "date": "2012-10-01",
   "type": "Conférences nationales avec comité de lecture sur texte complet",
   "booktitle": "proc. Ergo’IHM 2012"
},
{
   "lang": "fr",
   "bibtype": "inproceedings",
   "type_publi": "colcomlec",
   "title": "Efficacité des serious games pour la stimulation/rééducation cognitive",
   "booktitle": "Actes de la 2nde conférence \"Accessibilité et Systèmes de Suppléance aux personnes en sItuaTions de Handicap\" (ASSISTH 2011)",
   "authors": {
      "1": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      }
   },
   "year": 2011,
   "uri": "http://iihm.imag.fr/publication/T11a/",
   "id": 544,
   "note": "Conférence invitée",
   "abbr": "T11a",
   "address": "Paris, France",
   "date": "2011-01-15",
   "type": "Conférences nationales avec comité de lecture sur texte complet",
   "pages": "20-29"
},
{
   "lang": "fr",
   "bibtype": "inproceedings",
   "type_publi": "colcomlec",
   "title": "Un profil d’application de LOM pour les Serious Games",
   "booktitle": "Actes de la conférence \"Environnements Informatiques pour l'Apprentissage Humain\" (EIAH 2011)",
   "authors": {
      "1": {
         "first_name": "Iza",
         "last_name": "Marfisi-Schottman"
      },
      "2": {
         "first_name": "Sébastien",
         "last_name": "George"
      },
      "3": {
         "first_name": "Franck",
         "last_name": "Tarpin-Bernard"
      }
   },
   "year": 2011,
   "uri": "http://iihm.imag.fr/publication/MGT11a/",
   "id": 547,
   "note": "Mons, Belgique",
   "abbr": "MGT11a",
   "address": "Mons, Belgique",
   "date": "2011-06-15",
   "type": "Conférences nationales avec comité de lecture sur texte complet",
   "pages": "81-94"
},
{
   "lang": "en",
   "type_publi": "icolcomlec",
   "title": "Tools and Methods for Efficiently Designing Serious Games ",
   "booktitle": "Games Based Learning, ECGBL 2010",
   "address": "Copenhagen, Denmark",
   "year": 2010,
   "uri": "http://iihm.imag.fr/publication/MGT10a/",
   "id": 543,
   "bibtype": "inproceedings",
   "abbr": "MGT10a",
   "authors": {
      "1": {
         "first_name": "Iza",
         "last_name": "Marfisi-Schottman"
      },
      "2": {
         "first_name": "Sébastien",
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