第八届人类活动传感语料库与应用国际研讨会

Kazuya Murao, Yu Enokibori, H. Gjoreski, P. Lago, Tsuyoshi Okita, Pekka Siirtola, Kei Hiroi, P. Scholl, Mathias Ciliberto
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引用次数: 1

摘要

可穿戴传感器对复杂和微妙的人类行为的识别将使下一代以人为本的计算在高社会价值的场景中成为可能(例如,痴呆症护理)。这将需要大规模的人类活动语料库和大大改进的方法来识别活动及其发生的环境。本次研讨会涉及设计可重复的实验设置、运行大规模数据集收集活动、设计健壮且自适应的活动和上下文识别方法以及在现实世界中评估系统的挑战。我们希望反思未来的方法,比如允许开放式活动识别的终身学习方法。今年,HASCA将在特别会议上欢迎第三届苏塞克斯-华为运动和交通识别挑战赛和第二届护理活动识别挑战赛的参与者发表论文。
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8th international workshop on human activity sensing corpus and applications (HASCA)
The recognition of complex and subtle human behaviors from wearable sensors will enable next-generation human-oriented computing in scenarios of high societal value (e.g., dementia care). This will require large-scale human activity corpus and much improved methods to recognize activities and the context in which they occur. This workshop deals with the challenges of designing reproducible experimental setups, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating systems in the real world. We wish to reflect on future methods, such as lifelong learning approaches that allow open-ended activity recognition. This year HASCA will welcome papers from participants to the Third Sussex-Huawei Locomotion and Transportation Recognition Challenge and Second Nursing Activity Recognition Challenge in special sessions.
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