Items where Author is "Kanjo, E"

Journal article

WOODWARD, K., KANJO, E., PARKER, W. and PATRICK, B., 2024. A stand-alone proximity-based gaming wearable for remote physical activity monitoring. IEEE Transactions on Knowledge and Data Engineering, 5: e9. ISSN 1041-4347

WOODWARD, K., JOHNSON, T., PATRICK, B., GIBBS, M., ANWAR, A., KANJO, E. and WÜSTENBERG, J., 2024. The MEMO Project Inscription app: fostering community engagement on biodiversity loss. Interactions, 31 (2), pp. 9-11. ISSN 1072-5520

OSMAN, T., ALBISTON, G.L., PEYTCHEV, E. and KANJO, E., 2024. Semantic-based assembly framework for the generation of travel demand. Simulation Modelling Practice and Theory, 131: 102869. ISSN 1569-190X

WOODWARD, K., KANJO, E. and TSANAS, A., 2023. Combining deep learning with signal-image encoding for multi-modal mental wellbeing classification. ACM Transactions on Computing for Healthcare. ISSN 2691-1957

GIBBS, M., WOODWARD, K. and KANJO, E., 2023. Combining multiple tinyML models for multimodal context-aware stress recognition on constrained microcontrollers. IEEE Micro. ISSN 0272-1732

WOODWARD, K., KANJO, E., BROWN, D.J., MCGINNITY, T.M. and HAROLD, G., 2023. In the hands of users with intellectual disabilities: co-designing tangible user interfaces for mental wellbeing. Personal and Ubiquitous Computing. ISSN 1617-4909

KANJO, E. and WOODWARD, K., 2023. Tag in the Park: paving the way for proximity-based AI pervasive games. IEEE Communications Magazine. ISSN 1558-1896

JOHNSON, T. and KANJO, E., 2023. Urban Wellbeing: a portable sensing approach to unravel the link between environment and mental wellbeing. IEEE Sensors Letters. ISSN 2475-1472

ANG, C.S., SIRIARAYA, P., TABBAA, L., FALZARANO, F., KANJO, E. and PRIGERSON, H., 2023. Editorial for advances in human-centred dementia technology. International Journal of Human-Computer Studies, 170: 102964. ISSN 1071-5819

JOHNSON, T., KANJO, E. and WOODWARD, K., 2023. DigitalExposome: quantifying impact of urban environment on wellbeing using sensor fusion and deep learning. Computational Urban Science, 3 (1): 14. ISSN 2730-6852

O'BRIEN, O., SUMICH, A., KUSS, D. and KANJO, E., 2022. Wi-Fi at university: a better balance between education activity and distraction activity needed. Computers and Education, 3: 100071. ISSN 0360-1315

NICHOLLS, B., ANG, C.S., KANJO, E., SIRIARAYA, P., BAFTI, S.M., YEO, W.-H. and TSANAS, A., 2022. An EMG-based eating behaviour monitoring system with haptic feedback to promote mindful eating. Computers in Biology and Medicine, 149: 106068. ISSN 0010-4825

YOUNIS, E.M.G., ZAKI, S.M., KANJO, E. and HOUSSEIN, E.H., 2022. Evaluating ensemble learning methods for multi-modal emotion recognition using sensor data fusion. Sensors, 22 (15): 5611. ISSN 1424-8220

JAISWAL, A., KUMAR, S., KAIWARTYA, O., KASHYAP, P.K., KANJO, E., KUMAR, N. and SONG, H., 2021. Quantum learning enabled green communication for next generation wireless systems. IEEE Transactions on Green Communications and Networking. ISSN 2473-2400

INKSTER, B., KANJO, E., O’BRIEN, R., NIEDERHOFFER, K., BIDARGADDI, N., CAMILLE STONA, A.-C., COPPERSMITH, G., TOWLER, A., RESNIK, P., RESNIK, R., LIAKATA, M., BARKER, H., ABUBAKAR KAWU, A., MACHIN, K., PRAMILA GONSALVES, P., PAL, S., RANGANATHAN, S., NASLUND, J.A., ROBINSON, J., DE CHOUDHURY, M., MELVIN, G., HANLEY, T., JACKMAN, M., HUMPHERSON, E., WANG, B., MATEEN, B.A., SULE, A., NWANKWO, E., PAVARINI, G., CAR, J., CREPAZ-KEAY, D., KANDOLA, J., STEWART, H., TICHO, S., FOREMAN, A.C., SELBY, E., SHEPHERD, S., FORTUNA, K.L., ENEJE, E., HUESERS, T., JEFFREYS, S., RAWSTHORNE, M., CRAIGEN, G., BARGER, K., KUMAR, N., PENDSE, S., RILEY, E., PEREZ VALLEJOS, E., EMBRETT, M., OKYERE-TWUM, E., JACOB, K., GUNATILLEKE, J., JAYATHILAKA, M., PINTO DA COSTA, M., CATARINO, A., CUMMINS, R., CLELFORD, T., DE BATHE, J., TABLAN, V., BATEUP, S., BLACKWELL, A.D., PATEL, T., GRIMES, K., SYKES, E., TRAINOR, P., RAKPHETMANEE, D., EIX SURIYASANGPETCH, K., MEHARG, A., SEFI, A., RICHARDS, D., ENRIQUE, A., PALACIOS, J., BROWN, A., PAPADOPOULOU, E., LEE, C., JACQ, F., TSE, L., PLANS, D., SIERK, A., BOLTON, H., SCHROEDER, K., BESOLD, T.R., MATIC, A., ESTELLA AGUERRI, I., ASHALL-PAYNE, L., DALY, R., LEIGH, S., AGGARWAL, J., VEMPATI, R., JOSHI, S., SUBRAMANIAN, V., KADABA, M., FALALA SECHET, C., CHYNTIA IRWAN, G., MAXIMILLIAN HERLI, A., CHEVREUL, K., LE JEANNIC, A., TURMAINE, K., BANKS, C., CHOR KWAN LAM, M., HIU MAN CHIU, C., ALLEN-MERSH, W., ROBERTS, J., RAY, S., CATALANO, A., RUSSELL, J., DRUITT, J., GAON, B., GODSON, S., COMLEY, K., SUTELAINEN, S., CARLSON, M., PARKER, A., DUCKWORTH, K., GILLISON, D., NGUYEN, T., REINERT, M., UGO, V., WARD, I., BOOYSEN, C., FOSTER-ESTWICK, A., GATERA, G., KARORERO, D., PHILIP-JOE, K., JUMA, D., SARTOR, C., UKACHUKWU, C., ZEITZ, L., FINE, A., HOLKAR, M., D'ARCY, C., ALPIN, K., KERR, J., HEALEY, L., BETTS, O., SEVERINO, A., VAN DER HART, W., SMALLS, D., DICKSON, C., STROZ, A., VOLLMER, S., NGUYEN, H.D., ROSELLO, D.A., MEGALE, V., SMEDDINCK, J., BELLINI, R., DELARGE, C.A., PATEL, S., URIKO-KANG, J., OLATUNJI, T., LALO, V., WALKER, R., JOHN, A., RAYES, D., ELNAHASS, M., ELLIOTT, K., TONMYR, L., MACKENZIE, A., BIRNBAUM, M.L., CAINE, E.D., PESTIAN, J., JACOBSON, D., SORTER, M., GLAUSER, T., MEANEY, M., SILENZIO, V.M.B., EDWARDS, J., ARAYA, R., FITCH, C., EVANS, J., TELFORD, K., LOO, P., STEVENSON, A., MARSH, T., CHILD, H., MCINTYRE, R.S., BOWDEN-JONES, H., TOROUS, J. and INSEL, T.R., 2021. Early warning signs of a mental health tsunami: a coordinated response to gather initial data insights from multiple digital services providers. Frontiers in Digital Health, 2: 578902. ISSN 2673-253X

KANJO, E. and WOODWARD, K., 2020. iFidgetCube: Tangible Fidgeting Interfaces (TFIs) to monitor and improve mental wellbeing. IEEE Sensors Journal. ISSN 1530-437X

WOODWARD, K., KANJO, E., BROWN, D., MCGINNITY, T.M., INKSTER, B., MACINTYRE, D. and TSANAS, T., 2020. Beyond mobile apps: a survey of technologies for mental well-being. IEEE Transactions on Affective Computing. ISSN 1949-3045

WOODWARD, K., KANJO, E., OIKONOMOU, A. and CHAMBERLAIN, A., 2020. LabelSens: enabling real-time sensor data labelling at the point of collection using an artificial intelligence-based approach. Personal and Ubiquitous Computing. ISSN 1617-4909

ORTEGA ANDEREZ, D., KANJO, E., POGREBNA, G., KAIWARTYA, O., JOHNSON, S.D. and HUNT, J.A., 2020. A COVID-19-based modified epidemiological model and technological approaches to help vulnerable individuals emerge from the lockdown in the UK. Sensors, 20 (17): 4967. ISSN 1424-8220

PIVETTA, E., HARKIN, L., BILLIEUX, J., KANJO, E. and KUSS, D.J., 2019. Problematic smartphone use: an empirically validated model. Computers in Human Behavior, 100, pp. 105-117. ISSN 0747-5632

KANJO, E., YOUNIS, E.M.G. and ANG, C.S., 2019. Deep learning analysis of mobile physiological, environmental and location sensor data for emotion detection. Information Fusion, 49, pp. 46-56. ISSN 1566-2535

YOUNIS, E.M.G., KANJO, E. and CHAMBERLAIN, A., 2019. Designing and evaluating mobile self-reporting techniques: crowdsourcing for citizen science. Personal and Ubiquitous Computing. ISSN 1617-4909

SKARLATIDOU, A., PONTI, M., SPRINKS, J., NOLD, C., HAKLAY, M. and KANJO, E., 2019. User experience of digital technologies in citizen science. Journal of Science Communication, 18 (01). ISSN 1824-2049

KUSS, D.J., KANJO, E., CROOK-RUMSEY, M., KIBOWSKI, F., WANG, G.Y. and SUMICH, A., 2018. Problematic mobile phone use and smartphone addiction across generations: the roles of psychopathological symptoms and smartphone use. Journal of Technology in Behavioral Science, 3 (3), pp. 141-149. ISSN 2366-5963

KANJO, E., YOUNIS, E.M.G. and SHERKAT, N., 2018. Towards unravelling the relationship between on-body, environmental and emotion data using sensor information fusion approach. Information Fusion, 40, pp. 18-31. ISSN 1566-2535

KUSS, D.J., HARKIN, L., KANJO, E. and BILLIEUX, J., 2018. Problematic smartphone use: investigating contemporary experiences using a convergent design. International Journal of Environmental Research and Public Health, 15 (1), p. 142. ISSN 1661-7827

AL-BARRAK, L., KANJO, E. and YOUNIS, E.M.G., 2017. NeuroPlace: categorizing urban places according to mental states. PLoS ONE, 12 (9), e0183890. ISSN 1932-6203

KANJO, E., KUSS, D.J. and ANG, C.S., 2017. NotiMind: responses to smartphone notifications as affective sensors. IEEE Access, 5, pp. 22023-22035. ISSN 2169-3536

KANJO, E. and CHAMBERLAIN, A., 2015. Emotions in context: examining pervasive affective sensing systems, applications, and analyses. Personal and Ubiquitous Computing. ISSN 1617-4909

CHAMBERLAIN, A., PAXTON, M., GLOVER, K., FLINTHAM, M., PRICE, D., GREENHALGH, C., BENFORD, S., TOLMIE, P., KANJO, E., GOWER, A., GOWER, A., WOODGATE, D. and FRASER, D.S., 2014. Understanding mass participatory pervasive computing systems for environmental campaigns. Personal and Ubiquitous Computing, 18 (7), pp. 1775-1792. ISSN 1617-4909

DOERFLINGER, J., GROSS, T., LYRA, O., KARAPANOS, E., KOSTAKOS, V., CUADRADO-CORDERO, I., SORIA-MORILLO, L.M., GONZÁLEZ-ABRIL, L., ORTEGA-RAMÍREZ, J.A., PAU DE LA CRUZ, I., VALERO DUBOY, M.A. and KANJO, E., 2012. ICTD work, plus mFeel. IEEE Pervasive Computing, 11 (3), pp. 43-45. ISSN 1536-1268

KANJO, E., 2012. Tools and architectural support for mobile phone based crowd control systems. Network Protocols and Algorithms, 4 (3), pp. 4-14. ISSN 1943-3581

KANJO, E., 2010. NoiseSPY: a real-time mobile phone platform for urban noise monitoring and mapping. Mobile Networks and Applications, 15 (4), pp. 562-574. ISSN 1383-469X

KANJO, E., BACON, J., ROBERTS, D. and LANDSHOFF, P., 2009. MobSens: making smart phones smarter. IEEE Pervasive Computing, 8 (4), pp. 50-57. ISSN 1536-1268

KANJO, E., 2008. Cambridge Mobile Urban Sensing (CamMobSens). Sensor Review, 28 (3). ISSN 0260-2288

KANJO, E., BENFORD, S., PAXTON, M., CHAMBERLAIN, A., STANTON FRASER, D., WOODGATE, D., CRELLIN, D. and WOOLARD, A., 2008. MobGeoSen: facilitating personal geosensor data collection and visualization using mobile phones. Personal and Ubiquitous Computing, 12 (8), pp. 599-607. ISSN 1617-4909

ADAMCZYK, P., HAMILTON, K., CHAMBERLAIN, A., BENFORD, S., TANDAVANITJ, N., OLDROYD, A., HARTMAN, K., LONDON, K., SRISKANDARAJAH, S., KANJO, E., LANSHOFF, P., SEZAKI, K., KONOMI, S., NIAZI, M.A., AHMAD, H.F., MIRZA, F., ALI, A., ROUSSOS, G., PAPADOGKONAS, D. and LEVENE, M., 2007. Urban computing and mobile devices. IEEE Distributed Systems Online, 8 (7), p. 2. ISSN 1541-4922

KANJO, E. and ASTHEIMER, P., 2002. Interactive environment by narrative playmates toys. ACM SIGGROUP Bulletin, 23 (2), pp. 6-7.

Chapter in book

JOHNSON, T., WOODWARD, K. and KANJO, E., 2024. Emotion on the edge: air quality sensors decoded as a real-world emotion indicator. In: 2024 IEEE International Conference on Pervasive Computing and Communications (PerCom). Institute of Electrical and Electronics Engineers (IEEE). (Forthcoming)

XYGKOU, A., CHEE ANG, S., SIRIARAYA, P., KOPECKI, J., COVACI, A., KANJO, E. and SHE, W.J., 2024. Mindtalker: navigating the complexities of AI-enhanced social engagement for people with early-stage dementia. In: CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. New York, United States: Association for Computing Machinery. ISBN 9798400703300

HALL, J., SHAKMAK, B., AL-HABAIBEH, A. and KANJO, E., 2023. The analysis of sensory data from smart office environment towards the development of an intelligent system. In: J.D. NIXON, A. AL-HABAIBEH, V. VUKOVIC and A. ASTHANA, eds., Energy and sustainable futures: proceedings of the 3rd ICESF, 2022. Cham: Springer, pp. 169-178. ISBN 9783031309595

JOHNSON, T. and KANJO, E., 2023. Episodes of change: emotion change in semantic trajectories of multimodal sensor data. In: Proceedings of EmotionAware 2023: Seventh International Workshop on Emotion Awareness for Pervasive Computing Beyond Traditional Approaches, Atlanta USA, 13-17 March 2023. Institute of Electrical and Electronics Engineers (IEEE).

JOHNSON, T. and KANJO, E., 2023. Designing an interactive mobile assessment tool to quantify impact of the environment on wellbeing. In: G. SALVENDY and J. WEI, eds., Design, Operation and Evaluation of Mobile Communications: 4th International Conference, MOBILE 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings. Lecture notes in computer science (14052). Cham: Springer, pp. 286-295. ISBN 9783031359200

ANWAR, A. and KANJO, E., 2023. User-centred detection of violent conversations on mobile edge devices. In: N.A. STREITZ and S. KONOMI, eds., Distributed, Ambient and Pervasive Interactions: 11th International Conference, DAPI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part II. Lecture notes in computer science (14037). Cham: Springer, pp. 335-346. ISBN 9783031346088

WOODWARD, K., KANJO, E. and PARKER, W., 2022. Co-creating an object recognition exergame with hospital service users to promote physical activity. In: UNSPECIFIED Springer. (Forthcoming)

JOHNSON, T. and KANJO, E., 2021. Sensor fusion and the city: visualisation and aggregation of environmental and wellbeing data. In: 2021 IEEE International Smart Cities Conference (ISC2). IEEE. ISBN 9781665449205

KANJO, E., ORTEGA ANDEREZ, D., ANWAR, A., AL SHAMI, A. and WILLIAMS, J., 2021. CrowdTracing: overcrowding clustering and detection system for social distancing. In: 2021 IEEE International Smart Cities Conference (ISC2) [proceedings]. Curran Associates: Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781665449199

WOODWARD, K., KANJO, E. and BROWN, D., 2019. Challenges of designing and developing tangible interfaces for mental well-being. In: CHI 2019: 37th Annual ACM Conference on Human Factors in Computing Systems Extended Abstracts, Glasgow, Scotland, 4-9 May 2019. New York: Association for Computing Machinery (ACM). ISBN 9781450359719 (Forthcoming)

WOODWARD, K., KANJO, E., BURTON, S. and OIKONOMOU, A., 2018. EmoEcho: a tangible interface to convey and communicate emotions. In: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers: Ubicomp/ISWC 2018, Singapore, 8-12 October 2018. New York: Association for Computing Machinery (ACM), pp. 746-749. ISBN 9781450359665

WOODWARD, K. and KANJO, E., 2018. Things of the Internet (ToI): physicalization of notification data. In: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers: Ubicomp/ISWC 2018, Singapore, 8-12 October 2018. New York: Association for Computing Machinery (ACM), pp. 1228-1233. ISBN 9781450359665

GUERRACHE, F., ALDABBAGH, A. and KANJO, E., 2016. Multiple sensor fusion approach to map environmental noise impact on health. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct - UbiComp '16. New York: Association for Computing Machinery, pp. 1074-1078. ISBN 9781450344623

TAUCH, C. and KANJO, E., 2016. The roles of emojis in mobile phone notifications. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct - UbiComp '16, Heidelberg, Germany, 12-16 September 2016. New York: Association for Computing Machinery (ACM), pp. 1560-1565. ISBN 9781450344623

GUERRACHE, F., YOUNIS, E.M.G. and KANJO, E., 2016. Quantifying Environmental Noise impact on Heart Rate Variability. In: F. KAWSAR, P. ZHANG and M. MUSOLESI, eds., Proceedings of the The 8th EAI International Conference on Mobile Computing, Applications and Services, Cambridge, United Kingdom, 30 November - 1 December 2016. New York: Association for Computing Machinery. ISBN 9781631901379

KANJO, E., PLATZER, E. and KITTL, C., 2012. Viral message passing framework for crowd and sensor applications. In: R. BENLAMRI, ed., Networked Digital Technologies. NDT 2012. Communications in Computer and Information Science. Berlin: Springer. ISBN 9783642305672

Conference contribution

GIBBS, M. and KANJO, E., 2023. Realising the power of edge intelligence: addressing the challenges in AI and tinyML applications for edge computing. In: 2023 IEEE International Conference on Edge Computing and Communications (EDGE), Chicago, IL, USA, 02-08 July 2023.

KANJO, E., WOODWARD, K., TAYLOR, K. and HUNT, J., 2022. A multi-sensor deep learning approach for complex daily living activity recognition. In: Workshop on Emerging Devices for Digital Biomarkers (DigiBiom), colocated with MobiSys 2022, Portland, Oregon, USA, 1-4 July 2022.

WOODWARD, K., KANJO, E. and BROWN, D., 2019. AI-powered tangible interfaces to transform children’s mental well-being. In: 5th IEEE International Conference on Internet of People (IoP 2019), Leicester, 19-23 August 2019. (Forthcoming)

KANJO, E., 2014. Exploiting customer emotional responses to rate shops and enhance customer experience. In: IEEE AICCSA Conference, Doha, Qatar, 2014, Doha, Qatar.

ALZUHAIR, M., BENABID, A. and KANJO, E., 2014. NFC based applications for visually impaired people - review. In: EEE International Conference Multimedia and Expo Workshops (ICMEW), Chengdu, China, 14-18 July 2014, Chengdu, China.

KANJO, E., 2014. Overview of mobile sensing for special needs: lessons learned from I Can Workshop. In: S-CUBE 2014: The 5th International Conference on Sensor Systems and Software, Warwick, 6-7 October 2014, Warwick.

ALZUHAIR, M., BENABID, A. and KANJO, E., 2014. User involvement for the development of indoor navigation system for the visually impaired. In: 3rd International Conference on User Science and Engineering 2014 (i-USEr 2014), Malaysia, 2-5 September 2014, Malaysia.

KANJO, E. and ALSAFADI, L., 2014. Zone-based indoor mobile noise monitoring. In: The Sixth International Conference on Mobile Computing, Applications and Services Conference (Mobicase), Austin, Texas, 6-7 November 2014, Austin, Texas.

KANJO, E. and ALBARRAK, L., 2013. Categorizing outdoor places using EEG signals. In: 5th International BCI Meeting Fifth International BCI Meeting, Pacific Grove, California, June 2013, Pacific Grove, California.

KANJO, E., 2013. EnvAware: social network for community environmental awareness. In: International Conference on Computer Systems and Applicatiosn, AICCSA, 2013.

KANJO, E., ALBARRAK, L., ALHAKBANI, N., ALTAMMAMI, S. and ALGHAMDI, N., 2013. I CAN overview of mobile technology for special need. In: IEEE ICTHP-2013, February 2013.

ALAJLAN, M., AL-DOWAIHI, D., AL-ZAHRANI, N., AL-QWIFLY, N., ALJWISR, N. and KANJO, E., 2013. Mbreath: asthma monitoring on the go. In: IEEE International Conference on medical Applications ICCMA, 2013.

KANJO, E. and ALBARRAK, L., 2013. NeuroPlace: making sense of a place. In: 4th International Conference on Augmented Human, in Cooperation with ACM, Stuttgart, March 2013, Stuttgart.

ALHUSSAIN, L. and KANJO, E., 2013. Sense of space: mapping physiological emotion response in urban space. In: SenCity at Ubicomp, Zurich, September 2013, Zurich.

ALAJMI, N., KANJO, E., EL MAWASS, N. and CHAMBERLAIN, A., 2013. Shopmobia: an emotion based shop rating system. In: AFFINE 2013: Affective Interaction in Natural Environments (AFFINE), acii2013, Geneva, September 2013, Geneva, Switzerland.

KANJO, E., EL MAWASS, N. and CRAVEIRO, J.P., 2013. Social, disconnected or in between: mobile data reveals urban mood. In: 3rd International Conference on the Analysis of Mobile Phone Datasets (NetMob'13), Cambridge, Massachusetts, May 2013, Cambridge, Massachusetts.

CRAVEIRO, J.P., RAMOS, F.M.V., KANJO, E. and EL MAWASS, N., 2013. Towards an early warning system: the effect of weather on mobile phone usage. A case study in Abidjan. In: 3rd International Conference on the Analysis of Mobile Phone Datasets (NetMob'13), Cambridge, Massachusetts, May 2013, Cambridge, Massachusetts.

ALHAKBANI, N. and KANJO, E., 2013. Zone based indoor mobile pollution monitoring. In: Human Interfaces for Civic and Urban Engagement , Ubicomp, Zurich, September 2013, Zurich.

ALBARRAK, L. and KANJO, E., 2013. A mobile brain sensing system for recommending third places. In: Human Interfaces for Civic and Urban Engagement, UbiComp, Zurich, September 2013, Zurich.

EL MAWASS, N. and KANJO, E., 2013. A supermarket stress map. In: Pervasive Technologies in Retail Environments, Ubicomp, Zurich, September 2013, Zurich.

KANJO, E., PLATZER, E. and KITTL, C., 2012. ViralNet: a way to make short-range messages instantly viral. In: ICICS '12: 3rd International Conference on Information and Communication Systems, Jordan 2012, Jordan.

KANJO, E. and LANDSHOFF, P., 2008. Fresh: CellID based mobile forum for community environmental awareness. In: Ubicomp Conference, Workshop on Ubiquitous Sustainability: Citizen Science. & Activism, Seoul, 2008, Seoul.

KANJO, E., HAYES, M., SIMMONS, M. and LANDSHOFF, P., 2008. Scalable mobile sensing system. In: UK e-Science All Hands Conference, Edinburgh, 2008, Edinburgh.

WOODLAND, D., FRASER, S., KANJO, E., PAXTON, M. and BENFORD, S., 2007. Mobile (phone)s in schools: reflections on an exercise in participatory design with children in the wild. In: The Tenth European Conference on Computer Supported Cooperative Work (ECSCW), 2007.

KANJO, E., ASTHEIMER, P. and MARSHAL, I., 2004. Supporting face-to-face communications through interactive toys space. In: IEEE ICTTA, IEEE International Conference on Information & Communication Technologies: From Theory to Applications, 2004.

TIEYING LU, K., ASTHEIMER, P., KANJO, E. and REN, J., 2004. Vision-based innovative network games. In: (ADCOG) 3rd International Conference on Application and Development of Computer Games, Hong-Kong, 2004, Hong Kong.

KANJO, E., ASTHEIMER, P. and MARSHAL, I., 2003. A general framework for vision-based interactive board games. In: Games-On, London, 2003, London.

KANJO, E., 2002. Hands on virtual world. In: Computer and Fun Workshop, York, 2002, York.

KANJO, E. and ASTHEIMER, P., 2002. Interactive toys environment for storytelling and games applications. In: (VSSM) The Eighth International Conference on Virtual Systems and Multimedia, Seoul, 2002, Seoul.

KANJO, E., 2002. Interactive toys environment for young children. In: The Interaction Design for Children Workshop, Netherlands, 2002, Netherlands.

Patent/Published patent application

REN, J., KANJO, E., TIEYING LU, K. and ASTHEIMER, P., 2006. Object tracking system. UK GB2005/050144.

Working paper

WOODWARD, K., GIBBS, M. and KANJO, E., 2023. Combining multiple tinyML models for multimodal context-aware stress recognition on constrained microcontrollers. Nottingham: Nottingham Trent University.

GIBBS, M. and KANJO, E., 2023. Realising the power of edge intelligence: addressing the challenges in AI and tinyML applications for edge computing. Nottingham: Nottingham Trent University. (Unpublished)

JOHNSON, T. and KANJO, E., 2023. TinyDigitalExposome: the opportunities of multimodal urban environmental data and mental wellbeing on constrained microcontrollers. Nottingham: Nottingham Trent University.

ANWAR, A. and KANJO, E., 2023. tinyML for crime prevention: detecting violent conversations. Nottingham: Nottingham Trent University.

PATRICK, B. and KANJO, E., 2023. The impact and challenges of livestock tracking in internetless environments with tiny ML. Nottingham: Nottingham Trent University.

Other

NICHOLLS, B., ANG, C.S., KANJO, E., SIRIARAYA, P., YEO, W.H. and TSANAS, A., 2019. An EMG-based eating behaviour monitoring system with haptic feedback to promote mindful eating. New York: Cornell University.